基本信息
标题: “REFL: Resource-Efficient Federated Learning”
作者: Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
作者所属机构:
Ahmed M. Abdelmoniem: Queen Mary University of London, Assiut University, Egypt (主要工作在KAUST)
Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy: KAUST (King Abdul
基本信息
标题：FLOAT: Federated Learning Optimizations with Automated Tuning
作者：
Ahmad Faraz Khan, Virginia Tech, United States
Azal Ahmad Khan, Indian Institute of Technology, Guwahati, India
Ahmed M. Abdelmoniem, Queen Mary University of London, United Kingdom
Samuel Fountain, University of Minnesota,
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基本信息PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
作者：
Fan Mo（Imperial College London）
Hamed Haddadi（Imperial College London）
Kleomenis Katevas（Telefónica Research）
Eduard Ma
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