no code implementations • 2 Jan 2024 • Yang Li, Chunhe Xia, Wanshuang Lin, Tianbo Wang
Therefore, we propose A Privacy Protected Blockchain-based Federated Learning Model (PPBFL) to enhance the security of federated learning and encourage active participation of nodes in model training.
no code implementations • 21 Nov 2023 • Yang Li, Chunhe Xia, Wei Liu, Weidong Zhou, Chen Chen, Tianbo Wang
This article proposes Blockchain-based Federated Learning (FBChain) model for federated learning parameter communication to overcome the above two problems.
no code implementations • 20 Oct 2023 • Yang Li, Chunhe Xia, Chang Li, Tianbo Wang
With the increasing importance of machine learning, the privacy and security of training data have become critical.
no code implementations • 14 Jul 2023 • Weidong Huang, Jiaming Ji, Borong Zhang, Chunhe Xia, Yaodong Yang
Existing Safe Reinforcement Learning (SafeRL) methods, which rely on cost functions to enforce safety, often fail to achieve zero-cost performance in complex scenarios, especially vision-only tasks.