Yujia Wang

Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization

2021 · arXiv (Cornell University)

Due to the explosion in the size of the training datasets, distributed learning has received growing interest in recent years. One of the major bottlenecks is the large communication cost between the central server and …

Communication-Efficient Adaptive Federated Learning

2022 · arXiv (Cornell University)

Federated learning is a machine learning training paradigm that enables clients to jointly train models without sharing their own localized data. However, the implementation of federated learning in practice still faces numerous challenges, such as …