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.
Research Areas
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 Richtárik,
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
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