26 citations · 26 across the 2 of their papers we have counts for
2 papers
cs.LG2026
On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach
Jiahui Bai, Hai Dong, A. K. Qin
Asynchronous decentralized federated learning (ADFL) eliminates central coordination and global synchronization, making it attractive for large-scale and heterogeneous systems. How…
cs.LG2023★ 26 cited
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy
Ziru Niu, Hai Dong, A. Kai Qin +1
Federated Learning (FL) achieves great popularity in the Internet of Things (IoT) as a powerful interface to offer intelligent services to customers while maintaining data privacy.…