Chu-ko-nu: A Reliable, Efficient, and Anonymously Authentication-Enabled Realization for Multi-Round Secure Aggregation in Federated Learning

no code implementations • 23 Feb 2024 • Kaiping Cui, Xia Feng, Liangmin Wang, Haiqin Wu, XiaoYu Zhang, Boris Düdder

Specifically, in terms of share transfer, Chu-ko-nu breaks the probability P barrier by supplementing a redistribution process of secret key components (the sum of all components is the secret key), thus ensuring the reusability of the secret key.

Federated Learning

Physical Layer Security Assisted Computation Offloading in Intelligently Connected Vehicle Networks

no code implementations • 25 Mar 2022 • Yiliang Liu, Wei Wang, Hsiao-Hwa Chen, Feng Lyu, Liangmin Wang, Weixiao Meng, Xuemin, Shen

In this paper, we propose a secure computation offloading scheme (SCOS) in intelligently connected vehicle (ICV) networks, aiming to minimize overall latency of computing via offloading part of computational tasks to nearby servers in small cell base stations (SBSs), while securing the information delivered during offloading and feedback phases via physical layer security.