1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
Zhenlong Dai, Zhuoluo Zhao, Hengning Wang +5
With the development of large language models (LLMs) in the field of programming, intelligent programming coaching systems have gained widespread attention. However, most research…
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…
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…
BcMON: Blockchain Middleware for Offline Networks
Yijing Lin, Zhipeng Gao, Qian Wang +2
Blockchain is becoming a new generation of information infrastructures. However, the current blockchain solutions rely on a continuous connectivity network to query and modify the…