Federated Learning Using Variance Reduced Stochastic Gradient for
Probabilistically Activated Agents

Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents

25 October 2022

S. S. Kia

Papers citing "Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents"

6 / 6 papers shown

Title
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Sajal K. Das FedML 75 0 0 16 Dec 2024
FedScalar: A Communication efficient Federated Learning M. Rostami S. S. Kia FedML 25 1 0 03 Oct 2024
Optimality Gap of Decentralized Submodular Maximization under Probabilistic Communication Joan Vendrell Solmaz Kia 23 1 0 16 Sep 2024
Reinforcement Learning from Delayed Observations via World Models Armin Karamzade Kyungmin Kim Montek Kalsi Roy Fox 49 7 0 18 Mar 2024
First-Order Dynamic Optimization for Streaming Convex Costs M. Rostami Hossein Moradian S. S. Kia 22 1 0 11 Oct 2023
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018