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Michael Rabbat

Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning


Oct 14, 2022
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

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* v2. arXiv admin note: substantial text overlap with arXiv:2206.15387 
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The Hidden Uniform Cluster Prior in Self-Supervised Learning


Oct 13, 2022
Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Nicolas Ballas

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Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning


Jun 30, 2022
John Nguyen, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

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* v1 
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Positive Unlabeled Contrastive Learning


Jun 01, 2022
Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael Rabbat, Inderjit Dhillon

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FedShuffle: Recipes for Better Use of Local Work in Federated Learning


Apr 27, 2022
Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat

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* 18 pages, 2 figures, 3 tables, 30 pages of supplementary materials 
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Masked Siamese Networks for Label-Efficient Learning


Apr 14, 2022
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael Rabbat, Nicolas Ballas

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Federated Learning with Partial Model Personalization


Apr 08, 2022
Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael Rabbat, Maziar Sanjabi, Lin Xiao

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Stochastic Polyak Stepsize with a Moving Target


Jun 22, 2021
Robert M. Gower, Aaron Defazio, Michael Rabbat

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* 41 pages, 13 figures, 1 table 
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Federated Learning with Buffered Asynchronous Aggregation


Jun 11, 2021
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek Esmaeili, Dzmitry Huba

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Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples


Apr 28, 2021
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael Rabbat

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