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DTPP-DFL: A Dropout-Tolerated Privacy-Preserving ...
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由 T Chen 著作2023 — To address these challenges, we propose a novel privacy-preserving decentralized FL scheme system based on the blockchain and a modified identity-based ...
DTPP-DFL: A Dropout-Tolerated Privacy-Preserving ...
Hong Kong Baptist University
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Hong Kong Baptist University
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2023年12月4日 — Federated Learning (FL) enables participants to collaboratively train a global model by sharing their gradients without the need for ...
DTPP-DFL: A Dropout-Tolerated Privacy-Preserving ...
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由 T Chen 著作2023 — To address these challenges, we propose a novel privacy-preserving decentralized FL scheme system based on the blockchain and a modified identity-based ...
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DTPP-DFL: A Dropout-Tolerated Privacy-Preserving ...
Hong Kong Baptist University
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Dive into the research topics of 'DTPP-DFL: A Dropout-Tolerated Privacy-Preserving Decentralized Federated Learning Framework'. Together they form a unique ...
DTPP-DFL: A Dropout-Tolerated Privacy-Preserving ...
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It enables a continuously self-improving AI, which can be deployed everywhere at the edge. However, bringing AI to production for generating a real business ...
(PDF) A Dropout-Tolerated Privacy-Preserving Method for ...
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2024年10月22日 — To solve these issues, we propose a novel dropout-tolerated and privacy-preserving decentralized FL-MCS scheme, namely DTPP-DFL-MCS based on ...
Tao Chen
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Co-authors ; DTPP-DFL: A Dropout-Tolerated Privacy-Preserving Decentralized Federated Learning Framework. T Chen, XF Wang, HN Dai, HM Yang, R Zhou, XS Zhang.
Hao-Miao Yang
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DTPP-DFL: A Dropout-Tolerated Privacy-Preserving Decentralized Federated Learning Framework. GLOBECOM 2023: 2554-2559. [+][–]. Coauthor network. maximize. Note ...
PVD-FL: A Privacy-Preserving and Verifiable Decentralized ...
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This paper proposes a privacy-preserving and verifiable decentralized federated learning framework, named PVD-FL, which can achieve secure deep learning ...
Xiao-Fen Wang
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2024年10月7日 — DTPP-DFL: A Dropout-Tolerated Privacy-Preserving Decentralized Federated Learning Framework. GLOBECOM 2023: 2554-2559; 2022. [c2]. view.