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Mike Rabbat

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

5

Active years

2019–2022

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2022AISTATSFederated Learning with Buffered Asynchronous Aggregation.John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba
2022ECCVMasked Siamese Networks for Label-Efficient Learning.Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
2022RecSysTowards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity.Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu
2022UAIPrivacy-aware compression for federated data analysis.Kamalika Chaudhuri, Chuan Guo, Mike Rabbat
2021AISTATSLearning with Gradient Descent and Weakly Convex Losses.Dominic Richards, Mike Rabbat
2020ICMLOn the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings.Mahmoud Assran, Mike Rabbat
2019ICMLTarMAC: Targeted Multi-Agent Communication.Abhishek Das, Thophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, Joelle Pineau