On Sample Optimality in Personalized Collaborative and Federated Learning

von Even, Mathieu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 1 of 50 (2023)

FAST STOCHASTIC BREGMAN GRADIENT METHODS: SHARP ANALYSIS AND VARIANCE REDUCTION

von DRAGOMIR, RADU ALEXANDRU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 4 of 16 (2022)

Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging

von Cyffers, Edwige
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 21 of 50 (2023)

Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays

von Mishchenko, Konstantin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 1 of 50 (2023)

Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms

von Even, Mathieu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)