7 citations · 8 across the 3 of their papers we have counts for
3 papers
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…
cs.CR2023★ 7 cited
Blockchain-aided Secure Semantic Communication for AI-Generated Content in Metaverse
Yijing Lin, Hongyang Du, Dusit Niyato +4
The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between…