TEA-fed: time-efficient asynchronous federated learning for edge computing. - Chendi Zhou; Hao Tian 008; Hong Zhang; Jin Zhang 001; Mianxiong Dong; Juncheng Jia (CF, 2021)

FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks. - Hong Zhang; Hao Tian 008; Mianxiong Dong; Kaoru Ota; Juncheng Jia (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

FedBroadcast: Exploit Broadcast Channel for Fast Convergence in Wireless Federated Learning. - Hao Tian 008; Hong Zhang; Juncheng Jia; Mianxiong Dong; Kaoru Ota (IEEE Internet Things J., 2023)

Efficient asynchronous federated learning with sparsification and quantization. - Juncheng Jia; Ji Liu 003; Chendi Zhou; Hao Tian 008; Mianxiong Dong; Dejing Dou (Concurr. Comput. Pract. Exp., 2024)