1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Xiaojing Chen, Zhenyuan Li, Wei Ni +5
Federated learning (FL) is a viable technique to train a shared machine learning model without sharing data. Hierarchical FL (HFL) system has yet to be studied regrading its multip…
cs.CR2023
SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers
Bowen Zhao, Weiquan Deng, Xiaoguo Li +3
Secure outsourced computation is critical for cloud computing to safeguard data confidentiality and ensure data usability. Recently, secure outsourced computation schemes following…
cs.NE2023★ 1 cited
When Evolutionary Computation Meets Privacy
Bowen Zhao, Wei-Neng Chen, Xiaoguo Li +3
Recently, evolutionary computation (EC) has been promoted by machine learning, distributed computing, and big data technologies, resulting in new research directions of EC like dis…