21 citations · 45 across the 11 of their papers we have counts for
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cs.LG2026
CBD: API-Only LLM Black-Box Unlearning through Controlled Behavioral Divergence
Zhiqiang Xie, Yijing Lin, Zhipeng Gao +1
Edge devices increasingly invoke large language models (LLMs) through API services for context aware edge intelligence, while edge generated data may be collected to improve LLMs a…
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…