Guanlong Wu
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CachePrune introduces a privacy-aware, fine-grained KV cache sharing mechanism that allows LLM inference systems to safely reuse cache entries across users' requests, significantly improving efficiency while eliminating side-channel leakage.
The paper proposes DIST-FL, a distributed system using multiple TEEs and an append-only ledger to enhance the security and robustness of federated learning aggregation against server-side adversaries.
Papers
DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning
Guanlong Wu, Ju Yang, Zhen Huang, Jianyu Niu +3 more
The paper proposes DIST-FL, a distributed system using multiple TEEs and an append-only ledger to enhance the security and robustness of federated learning aggregation against server-side adversaries.