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Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design


May 10, 2021
Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor


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Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization


Jan 28, 2021
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor


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Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation


Jan 18, 2021
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor


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Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients


Dec 02, 2020
Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor


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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network


Jul 04, 2020
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor


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Performance Analysis and Optimization in Privacy-Preserving Federated Learning


Feb 29, 2020
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor


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Federated Learning with Differential Privacy: Algorithms and Performance Analysis


Nov 08, 2019
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor


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Performance Analysis on Federated Learning with Differential Privacy


Nov 01, 2019
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor


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