Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization

von Safaryan, Mher
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 31 of 36 (2022)

99% OF WORKER-MASTER COMMUNICATION IN DISTRIBUTED OPTIMIZATION IS NOT NEEDED

von MISHCHENKO, KONSTANTIN
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 3 of 3 (2021)

VARIANCE REDUCED COORDINATE DESCENT WITH ACCELERATION: NEW METHOD WITH A SURPRISING APPLICATION TO FINITE-SUM PROBLEMS

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

STOCHASTIC SUBSPACE CUBIC NEWTON METHOD

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

Lower Bounds and Optimal Algorithms for Personalized Federated Learning

von Hanzely, Filip
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 3 of 27 (2021)