Non-Convex Stochastic Composite Optimization with Polyak Momentum

5 March 2024

Papers citing "Non-Convex Stochastic Composite Optimization with Polyak Momentum"

5 / 5 papers shown

Title
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum Yuan Zhou Xinli Shi Xuelong Li Jiachen Zhong G. Wen Jinde Cao FedML 41 0 0 17 Apr 2025
A stochastic first-order method with multi-extrapolated momentum for highly smooth unconstrained optimization Chuan He 78 0 0 19 Dec 2024
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs Satyen Kale Ayush Sekhari Karthik Sridharan 182 29 0 11 Jul 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 284 2,890 0 15 Sep 2016