Fairness and Robustness in Federated Learning with Virginia Smith -#504

Fairness and Robustness in Federated Learning with Virginia Smith -#504

Today we kick off our ICML coverage joined by Virginia Smith, an assistant professor in the Machine Learning Department at Carnegie Mellon University. In our conversation with Virginia, we explore her work on cross-device federated learning applications, including where the distributed learning aspects of FL are relative to the privacy techniques. We dig into her paper from ICML, Ditto: Fair and Robust Federated Learning Through Personalization, what fairness means in contrast to AI ethics, the particulars of the failure modes, the relationship between models, and the things being optimized across devices, and the tradeoffs between fairness and robustness. We also discuss a second paper, Heterogeneity for the Win: One-Shot Federated Clustering, how the proposed method makes heterogeneity beneficial in data, how the heterogeneity of data is classified, and some applications of FL in an unsupervised setting. The complete show notes for this episode can be found at twimlai.com/go/504.

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Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - TWiML Talk #30

Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - TWiML Talk #30

Our guest this week is Zornitsa Kozareva, Manager of Machine Learning with Amazon Web Services Deep Learning, where she leads a group focused on natural language processing and dialogue systems for pr...

29 Kesä 201755min

Robotic Perception and Control with Chelsea Finn - TWiML Talk #29

Robotic Perception and Control with Chelsea Finn - TWiML Talk #29

This week we continue our series on industrial applications of machine learning and AI with a conversation with Chelsea Finn, a PhD student at UC Berkeley. Chelsea’s research is focused on machine lea...

23 Kesä 201754min

Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28

Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28

This week our guest is Pieter Abbeel, Assistant Professor at UC Berkeley, Research Scientist at OpenAI, and Cofounder of Gradescope. Pieter has an extensive background in AI research, going way back t...

17 Kesä 201752min

Intelligent Autonomous Robots with Ilia Baranov - TWiML Talk #27

Intelligent Autonomous Robots with Ilia Baranov - TWiML Talk #27

Our first guest in the Industrial AI series is Ilia Baranov, engineering manager at Clearpath Robotics. Ilia is responsible for setting the engineering direction for all of Clearpath’s research platfo...

9 Kesä 201753min

Global AI Trends with Ben Lorica - TWiML Talk #26

Global AI Trends with Ben Lorica - TWiML Talk #26

This week I’ve invited my friend Ben Lorica onto the show. Ben is Chief Data Scientist for O’Reilly Media, and Program Director of Strata Data & the O'Reilly A.I. conference. Ben has worked on analyti...

2 Kesä 201754min

Offensive vs Defensive Data Science with Deep Varma - TWiML Talk #25

Offensive vs Defensive Data Science with Deep Varma - TWiML Talk #25

This week on the show my guest is Deep Varma, Vice President of Data Engineering at real estate startup Trulia. Deep has run data engineering teams in silicon valley for well over a decade, and is now...

26 Touko 201753min

Reinforcement Learning: The Next Frontier of Gaming with Danny Lange - TWiML Talk #24

Reinforcement Learning: The Next Frontier of Gaming with Danny Lange - TWiML Talk #24

My guest on the show this week is Danny Lange, VP for Machine Learning & AI at video game technology developer Unity Technologies. Danny is well traveled in the world of ML and AI, and has had a hand ...

20 Touko 201754min

Integrating Psycholinguistics into AI with Dominique Simmons - TWiML Talk #23

Integrating Psycholinguistics into AI with Dominique Simmons - TWiML Talk #23

I think you’re really going to enjoy today’s show. Our guest this week is Dominique Simmons, Applied research Scientist at AI tools vendor Dimensional Mechanics. Dominique brings an interesting backgr...

12 Touko 20171h

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