Chaoyang He

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, Brendan Avent et al. · Foundations and Trends® in Machine Learning · 2020 · 4.2K citations · Full text

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Songze Li, Jinhyun So · arXiv (Cornell University) · 2020 · 357 citations · Full text

Artificial Intelligence, Cluster Computing, Fl Algorithm Development +22

Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities

Tuo Zhang, Lei Gao, Chaoyang He et al. · IEEE Internet of Things Magazine · 2022 · 341 citations

Storage Costs, Engineering, Machine Learning +20

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

Chaoyang He, Murali Annavaram, Salman Avestimehr · arXiv (Cornell University) · 2020 · 190 citations · Full text

Artificial Intelligence, Group Knowledge Transfer, Edge Training +13

A Field Guide to Federated Optimization

Jianyu Wang, Zachary Charles, Zheng Xu et al. · arXiv (Cornell University) · 2021 · 167 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18