21 citations · 45 across the 11 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.NI2024★ 1 cited
Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach
Hongyang Du, Guangyuan Liu, Yijing Lin +4
Optimizing various wireless user tasks poses a significant challenge for networking systems because of the expanding range of user requirements. Despite advancements in Deep Reinfo…
cs.LG2024
Scalable Federated Unlearning via Isolated and Coded Sharding
Yijing Lin, Zhipeng Gao, Hongyang Du +4
Federated unlearning has emerged as a promising paradigm to erase the client-level data effect without affecting the performance of collaborative learning models. However, the fede…
cs.LG2024★ 1 cited
Blockchain-enabled Trustworthy Federated Unlearning
Yijing Lin, Zhipeng Gao, Hongyang Du +3
Federated unlearning is a promising paradigm for protecting the data ownership of distributed clients. It allows central servers to remove historical data effects within the machin…