On the capacity of information processing systems

von Massoulié, Laurent
Veröffentlicht in Operations research (-2018)

DUAL-FREE STOCHASTIC DECENTRALIZED OPTIMIZATION WITH VARIANCE REDUCTION

von Hendrikx, Hadrien
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

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)

Adaptive matching for expert systems with uncertain task types

von Shah, Virag
Veröffentlicht in Operations research (2020)

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)

STATISTICALLY PRECONDITIONED ACCELERATED GRADIENT METHOD FOR DISTRIBUTED OPTIMIZATION

von Hendrikx, Hadrien
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

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)