8 citations · 9 across the 3 of their papers we have counts for
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cs.LG2023★ 1 cited
DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT
Xiaofeng Xue, Haokun Mao, Qiong Li
Federated learning (FL) aims to collaboratively train a global model while ensuring client data privacy. However, FL faces challenges from the non-IID data distribution among clien…
cs.LG2022
An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication
Xiaofeng Xue, Haokun Mao, Qiong Li +1
Specializing Directed Acyclic Graph Federated Learning(SDAGFL) is a new federated learning framework which updates model from the devices with similar data distribution through Dir…
cs.LG2021★ 8 cited
Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu, Weizhe Zhang, Qiong Li +2
In recent years, mobile clients' computing ability and storage capacity have greatly improved, efficiently dealing with some applications locally. Federated learning is a promising…