2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
FedLion: Faster Adaptive Federated Optimization with Fewer Communication
Zhiwei Tang, Tsung-Hui Chang
In Federated Learning (FL), a framework to train machine learning models across distributed data, well-known algorithms like FedAvg tend to have slow convergence rates, resulting i…
cs.LG2023★ 2 cited
-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning
Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang
Federated Learning (FL) is a promising privacy-preserving distributed learning paradigm but suffers from high communication cost when training large-scale machine learning models.…