Abstract: "Federated Learning" is an adaptable approach to model training that enables collaborative Machine Learning (ML) while preserving raw data local, thereby safeguarding privacy and adhering to ...
Abstract: This article investigates fully distributed robust adaptive Nash equilibrium (NE) seeking strategies in noncooperative games. Different from existing NE seeking results, this article ...
Electromagnetic Attacks Authors, Creators & Presenters: Yanze Ren (Zhejiang University), Qinhong Jiang (Zhejiang University), Chen Yan (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan ...
More flexible systems naturally expose a wider range of configurations and performance profiles. For AI-native developers, ...
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