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On Sample Optimality in Personalized Federated and Collaborative Learning
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Mathieu Even, Laurent Massoulié, Kevin Scaman
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A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
Mathieu Even, Raphaël Berthier, Francis Bach, Nicolas Flamarrion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien Taylor
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Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
RA Dragomir, Mathieu Even, Hadrien Hendrikx
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Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization
Mathieu Even, Laurent Massoulié
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