14 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
CC-FedAvg: Computationally Customized Federated Averaging
Hao Zhang, Tingting Wu, Siyao Cheng +1
Federated learning (FL) is an emerging paradigm to train model with distributed data from numerous Internet of Things (IoT) devices. It inherently assumes a uniform capacity among…
cs.LG2022★ 14 cited
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
Hao Zhang, Tingting Wu, Siyao Cheng +1
As an emerging technology, federated learning (FL) involves training machine learning models over distributed edge devices, which attracts sustained attention and has been extensiv…
cs.CR2017
Optimal Scheduling of Friendly Jammers for Securing Wireless Communication
Jialin Wan, Siyao Cheng, Shanshan Han +1
Wireless communication systems, such as wireless sensor networks and RFIDs, are increasingly adopted to transfer potential highly sensitive information. Since the wireless medium h…