Michael Rabbat

Montreal, Canada

Mike is a founding member of the Facebook AI Research (FAIR) team in Montreal. He holds a B.Eng. from the University of Illinois at Urbana-Champaign, a M.Eng from Rice University, and a Ph.D. in electrical engineering from the University of Wisconsin-Madison. Prior to Facebook, Mike was a professor at McGill University in the Department of Electrical and Computer Engineering. His research interests include optimization, distributed algorithms and signal processing.

Michael's Publications

July 24, 2021

CORE MACHINE LEARNING

SYSTEMS RESEARCH

Federated Learning with Buffered Asynchronous Aggregation

John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek, Dzmitry Huba

July 24, 2021

May 12, 2019

RESEARCH

ML APPLICATIONS

Provably Accelerated Randomized Gossip Algorithms

Nicolas Loizou, Michael Rabbat, Peter Richt√°rik,

May 12, 2019

May 01, 2019

RESEARCH

SPEECH & AUDIO

Learning graphs from data: A signal representation perspective

Xiaowen Dong, Dorina Thanou, Michael Rabbat, Pascal Frossard,

May 01, 2019

December 09, 2019

RESEARCH

ML APPLICATIONS

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Michael Rabbat,

December 09, 2019