In this episode, Bryce and Conor talk about Bryce’s ARRAY 2022 Keynote talk, mdspaces and more! Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Recorded: 2022-06-13 Date Released: 2022-06-24 PLDI 2022ARRAY 2022Bryce’s ARRAY 2022 Keynote Talk (not online yet)Conor’s ARRAY 2022 Talk (not online yet)C++23 std::mdspanC++23 std::mdarrayC++23 extentsArrayCast Episode 28: Rank and Leading Axis TheoryArrayCast Episode 29: TransposeJ |. (transpose)Dyalog APL ⍉ (transpose)BQN ⍉ (transpose)All PowerPoint ShortcutTools 3.0 Keyboard ShortcutsPowerPoint Morph TransitionReddit: CPP Cast is over, what are you all listening now?CppCast Podcastcpp.chat PodcastNDR PodcastTLB hit 💥 PodcastTwo’s Complement PodcastMagic Read Along PodcastApple Keynote Magic MoveGreat Impractical Ideas in Computer Science: PowerPoint ProgrammingCppNorth ConferenceIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

There is so much to learn! If you’re anything like me, you’re overwhelmed by the number of books, articles, podcasts, online and offline courses, webinars and other training opportunities out there. Today, we’re not short of learning materials, but often lack the time and capacity to learn new things. But what if there’s a better way to learn? Enter the concept of “Ultralearning”, coined by best-selling author Scott Young. A few years ago, I read Scott’s book Ultralearning and it changed my life. Not only did Scott’s approach to learning increase my learning rate significantly, it also made the process a lot more enjoyable overall!  Scott is an impressive Ultralearner who has used his advanced learning strategies to complete a 4-year computer science degree in 12 months, learn languages such as Spanish, Chinese, Korean and Macedonian and become a decent portrait artist. And then he’s written a book about it. In this episode of Leaders of Analytics, you will learn: How Scott has used his learning principles to master very complex and diverse skills in a very short timeHow we learn and retain informationHow we can structure our learning to faster absorption and better retentionHow Scott designs a learning strategy from scratchWhether Malcolm Gladwell’s “10,000 hour rule” is true or BSStrategies for learning hard and soft skills, and much more.Scott's website (full of excellent learning resources): https://www.scotthyoung.com/ Scott's podcast: https://www.scotthyoung.com/blog/podcast/ Scott on Twitter: https://twitter.com/scotthyoung/ Scott on LinkedIn: https://www.linkedin.com/in/scott-h-young-867ab21/

In this episode, Bryce and Conor interview Patrice Roy about C++ education, cats and more! Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest: Patrice Roy has been playing with C++, either professionally, for pleasure or (most of the time) both for over 30 years. After a few years doing R&D and working on military flight simulators, he moved on to academics and has been teaching computer science since 1998. Since 2005, he’s been involved more specifically in helping graduate students and professionals from the fields of real-time systems and game programming develop the skills they need to face today’s challenges. The rapid evolution of C++ in recent years has made his job even more enjoyable. He’s been a participating member in the ISO C++ Standards Committee since late 2014 and has been involved with the ISO Programming Language Vulnerabilities since late 2015. He has five kids, and his wife ensures their house is home to a continuously changing number of cats, dogs and other animals. Show Notes Date Recorded: 2022-04-14 Date Released: 2022-04-22 A Tour of C++ by Bjarne StroustrupProgramming: Principles and Practice Using C++ by Bjarne StroustrupThe C++ Programming Language by Bjarne StroustrupPatrice Roy’s WebsiteZach Laine’s Text LibraryJelly Programming LanguageFORTRAN 77camomilla by Vittorio RomeoIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Bryce and Conor interview Jason Walter and Patrice Roy about the upcoming CppNorth conference and more! Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guests: Jason Walter is a lead tool programmer at Epic Games Canada working on the Virtual Production Tools teams. He is on the board of directors of CppToronto, a non-profit organization that provides an open, inclusive, and collaborative place where software developers can meet and discuss topics related to C++ software development and currently an organizing member of the CppNorth conference. In his free time, he enjoys spending time with his family, photography, and riding his road and gravel bike. Patrice Roy has been playing with C++, either professionally, for pleasure or (most of the time) both for over 30 years. After a few years doing R&D and working on military flight simulators, he moved on to academics and has been teaching computer science since 1998. Since 2005, he’s been involved more specifically in helping graduate students and professionals from the fields of real-time systems and game programming develop the skills they need to face today’s challenges. The rapid evolution of C++ in recent years has made his job even more enjoyable. He’s been a participating member in the ISO C++ Standards Committee since late 2014 and has been involved with the ISO Programming Language Vulnerabilities since late 2015. He has five kids, and his wife ensures their house is home to a continuously changing number of cats, dogs and other animals. Show Notes Date Recorded: 2022-04-14 Date Released: 2022-04-15 Tony van Eerd on TwitterC++Now 2022 Program AnnouncedCppNorth ConferenceCppNorth on TwitterC++TO Toronto MeetupPatrice Roy’s WebsitePatrice CppNorth WorkshopCppNorth Keynote SpeakersCppNorth WorkshopsIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

BIOINFORMATICS AND MEDICAL APPLICATIONS The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology. Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at an early stage by assembling cutting-edge resources into a single collection designed to enlighten the reader on topics focusing on computer science, mathematics, and biology. In modern biology and medicine, bioinformatics is critical for data management. This book explains the bioinformatician’s important tools and examines how they are used to evaluate biological data and advance disease knowledge. The editors have curated a distinguished group of perceptive and concise chapters that presents the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to healthcare. Applying deep learning techniques for data-driven solutions in health information allows automated analysis whose method can be more advantageous in supporting the problems arising from medical and health-related information. Audience The primary audience for the book includes specialists, researchers, postgraduates, designers, experts, and engineers, who are occupied with biometric research and security-related issues.

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.

Before starting Chartmetric, Sung worked on Sales Cloud as the Principal Product Manager at Oracle Corporation. Prior to that, he was the first employee/engineer at the publicly-traded gaming company Gamevil (which has a Market Cap of $400MM), where he initiated mobile game development and eventually positioned the company as a leading mobile game developer. 

Sung graduated with a bachelor’s degree of electrical engineering and computer science from Seoul National University, and an MBA from UCLA Anderson School of Management.

He enjoys posting ideas on his blog (http://sungmooncho.com), which has attracted more than 5 million views and is considered as one of the leading tech blogs in Korea. Sung has invested in 10 startups in New York, Silicon Valley, and Seoul (http://angel.co/sung-cho). If you want more free insights, follow our podcast, our blog, and our socials. If you're an artist with a free Chartmetric account, sign up for the artist plan, made exclusively for you, here. If you're new to Chartmetric, follow the URL above after creating a free account here. 

Summary One of the perennial challenges of data analytics is having a consistent set of definitions, along with a flexible and performant API endpoint for querying them. In this episode Artom Keydunov and Pavel Tiunov share their work on Cube.js and the various ways that it is being used in the open source community.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show! Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days. Datafold helps Data teams gain visibility and confidence in the quality of their analytical data through data profiling, column-level lineage and intelligent anomaly detection. Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Go to dataengineeringpodcast.com/datafold today to start a 30-day trial of Datafold. Your host is Tobias Macey and today I’m interviewing Artyom Keydunov and Pavel Tiunov about Cube.js a framework for building analytics APIs to power your applications and BI dashboards

Interview

Introduction How did you get involved in the area of data management? Can you describe what Cube is and the story behind it? What are the main use cases and platform architectures that you are focused on?

Who are the target personas that will be using and managing Cube.js?

The name comes from the concept of an OLAP cube. Can you discuss the applications of OLAP cubes and their role in the current state of the data ecosystem?

How does the idea of an OLAP cube compare to the recent focus on a dedicated metrics layer?

What are the pieces of a data platform that might be replaced by Cube.js? Can you describe the design and architecture of the Cube platform?

How has the focus and target use case for the Cube platform evolved since you first started working on it?

One of the perpetually hard problems in computer science is cache management. How have you approached that challenge in the pre-aggregation layer of the Cube framework? What is your overarching design philosophy for the API of the Cube system? Can you talk through the workflow of someone building a cube and querying it from a downstream system?

What do the iteration cycles look like as you go from initial proof of concept to a more sophisticated usage of Cube.js

We talked about:

Eleni’s background Spatial data analytics Responsibilities of a postdoc Publishing papers Best places for data management papers Differences between postdoc and PhD Helping students become successful Research at the DIMA group Identifying important research directions Reviewing papers Underrated topics in data management Research in data cleaning Collaborating with others Choosing the field for Master’s students Choosing the topic for a Master thesis Should I do a PhD? Promoting computer science to female students

Links:

https://www.user.tu-berlin.de/tzirita/

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html

Alex Mallen, Computer Science student at the University of Washington, and Henning Lange, a Postdoctoral Scholar in Applied Math at the University of Washington, join us today to share their work "Deep Probabilistic Koopman: Long-term Time-Series Forecasting Under Periodic Uncertainties."

Jump-start your career as a data scientist—l earn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!

Today on the show we have Daniel Omeiza, a doctoral student in the computer science department of the University of Oxford, who joins us to talk about his work Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa.

DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.

In this episode, Conor and Bryce finish their conversation with Chandler and Patricia. About the Guests: Chandler Carruth leads the C++, Clang, and LLVM teams at Google, building a better language with better diagnostics, tools, compilers, optimizers, etc. Previously, he worked on several pieces of Google’s distributed build system. He makes guest appearances helping to maintain a few core C++ libraries across Google’s codebase, and is active in the LLVM and Clang open source communities. He received his M.S. and B.S. in Computer Science from Wake Forest University, but disavows all knowledge of the contents of his Master’s thesis. He is regularly found drinking Cherry Coke Zero in the daytime and pontificating over a single malt scotch in the evening. Patricia Aas is a C++ programmer with a “thing for building browsers”. She works for a company she co-founded called TurtleSec where she teaches courses in Secure Coding in C++ and does consulting and contracting. She has been a professional programmer for 16 years, and started off her career working on the original Opera browser. Since then she has made embedded products at Cisco and another browser at Vivaldi. When she has time she works on her own open source (pre-alpha) Chromium/Blink+Qt based browser called TurtleBrowser. Date Recorded: 2021-06-05 Date Released: 2021-07-02 ADSP Episode 29: From Papa John’s to Google (Part 1)ADSP Episode 30: Google, Interviews, Leadership & More (Part 2)ADSP Episode 31: Strategic Decision Making & More (Part 3)The Petrified Wood PrincipleNo Rules RulesHit RefreshNVIDIA GPU GemsOrganizational Charts of Amazon, Apple, Facebook, GoogleIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce talk to Chandler and Patricia. We talk about strategic decision making, how to disagree, one-way vs two-way doors and so much more. About the Guests: Chandler Carruth leads the C++, Clang, and LLVM teams at Google, building a better language with better diagnostics, tools, compilers, optimizers, etc. Previously, he worked on several pieces of Google’s distributed build system. He makes guest appearances helping to maintain a few core C++ libraries across Google’s codebase, and is active in the LLVM and Clang open source communities. He received his M.S. and B.S. in Computer Science from Wake Forest University, but disavows all knowledge of the contents of his Master’s thesis. He is regularly found drinking Cherry Coke Zero in the daytime and pontificating over a single malt scotch in the evening. Patricia Aas is a C++ programmer with a “thing for building browsers”. She works for a company she co-founded called TurtleSec where she teaches courses in Secure Coding in C++ and does consulting and contracting. She has been a professional programmer for 16 years, and started off her career working on the original Opera browser. Since then she has made embedded products at Cisco and another browser at Vivaldi. When she has time she works on her own open source (pre-alpha) Chromium/Blink+Qt based browser called TurtleBrowser. Show Notes Date Recorded: 2021-06-05 Date Released: 2021-06-25 ADSP Episode 29: From Papa John’s to Google (Part 1)ADSP Episode 30: Google, Interviews, Leadership & More (Part 2)ThinLTO Clang DocumentationTeresa Johnson - ThinLTO Whole Program Optimization - Meeting C++ 2020 Center KeynoteGuts, Part Three: Having Backbone – Disagreeing and CommittingOne-Way vs Two-Way DoorsIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

Lior Shamir, Associate Professor of Computer Science at Kansas University, joins us today to talk about the recent paper Automatic Identification of Outliers in Hubble Space Telescope Galaxy Images. Follow Lio on Twitter @shamir_lior

In this episode, Conor and Bryce talk to Chandler and Patricia. Chandler finishes telling us about his career path leading up to Google and then we talk about interviewing, leadership and much more. About the Guests: Chandler Carruth leads the C++, Clang, and LLVM teams at Google, building a better language with better diagnostics, tools, compilers, optimizers, etc. Previously, he worked on several pieces of Google’s distributed build system. He makes guest appearances helping to maintain a few core C++ libraries across Google’s codebase, and is active in the LLVM and Clang open source communities. He received his M.S. and B.S. in Computer Science from Wake Forest University, but disavows all knowledge of the contents of his Master’s thesis. He is regularly found drinking Cherry Coke Zero in the daytime and pontificating over a single malt scotch in the evening. Patricia Aas is a C++ programmer with a “thing for building browsers”. She works for a company she co-founded called TurtleSec where she teaches courses in Secure Coding in C++ and does consulting and contracting. She has been a professional programmer for 16 years, and started off her career working on the original Opera browser. Since then she has made embedded products at Cisco and another browser at Vivaldi. When she has time she works on her own open source (pre-alpha) Chromium/Blink+Qt based browser called TurtleBrowser. Date Recorded: 2021-06-05 Date Released: 2021-06-18 ADSP Episode 29: From Papa John’s to Google (Part 1)WgetLLVMHow Do You Decide Whether an Individual Contributor (IC) or Engineering Manager Role is Right for You?GCC CompilerClang CompilerISO C++COBOLIntro Song Info

Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce talk to Chandler and Patricia and Chandler tells us about his career path leading up to Google. About the Guests: Chandler Carruth leads the C++, Clang, and LLVM teams at Google, building a better language with better diagnostics, tools, compilers, optimizers, etc. Previously, he worked on several pieces of Google’s distributed build system. He makes guest appearances helping to maintain a few core C++ libraries across Google’s codebase, and is active in the LLVM and Clang open source communities. He received his M.S. and B.S. in Computer Science from Wake Forest University, but disavows all knowledge of the contents of his Master’s thesis. He is regularly found drinking Cherry Coke Zero in the daytime and pontificating over a single malt scotch in the evening. Patricia Aas is a C++ programmer with a “thing for building browsers”. She works for a company she co-founded called TurtleSec where she teaches courses in Secure Coding in C++ and does consulting and contracting. She has been a professional programmer for 16 years, and started off her career working on the original Opera browser. Since then she has made embedded products at Cisco and another browser at Vivaldi. When she has time she works on her own open source (pre-alpha) Chromium/Blink+Qt based browser called TurtleBrowser. Date Recorded: 2021-06-05 Date Released: 2021-06-11 ADSP Episode 28: Steve Jobs & Sean ParentPapa John’sSilicon Valley TV ShowLinux WineTransgamingLLVMIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce talk to Sean Parent about a plethora of topics including slides, UI and more. About the Guest: Sean Parent is a principal scientist and software architect for Adobe Photoshop. Sean has been at Adobe since 1993 when he joined as a senior engineer working on Photoshop and later managed Adobe’s Software Technology Lab. In 2009 Sean spent a year at Google working on Chrome OS before returning to Adobe. From 1988 through 1993 Sean worked at Apple, where he was part of the system software team that developed the technologies allowing Apple’s successful transition to PowerPC. Date Recorded: 2021-05-19 Date Released: 2021-05-21 Sean Parents Paper: P2345 Relaxing Requirements of Moved-From ObjectsGoingNative 2013 C++ Seasoning - Sean ParentSean McQuillan - Launching Into CoroutinesReveal JSJupiter Notebooksxeus-cling Jupiter kernel for C++All PowerPoint ShortcutTools 3.0 Keyboard ShortcutsGreat Impractical Ideas in Computer Science: PowerPoint ProgrammingCppCon 2019: Sean Parent “Better Code: Relationships”ASL Eve Layout EngineASL I/O ManipulatorsC++20 std::formatIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

Nirupam Gupta, a Computer Science Post Doctoral Researcher at EDFL University in Switzerland, joins us today to discuss his work "Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent."   Works Mentioned:  https://arxiv.org/abs/2101.12316 Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent by Nirupam Gupta and Nitin H. Vaidya   Conference Details: https://georgetown.zoom.us/meeting/register/tJ0sc-2grDwjEtfnLI0zPnN-GwkDvJdaOxXF