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https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedHAN.pdf
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients Xiaoding Wang1 , Bin Ye1 , Li Xu1 , Lizhao Wu1 , Sun-Yuan Hsieh2 , Jie Wu3;4 and Limei Lin1 1College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China 2Department of ...
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https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...
https://www.temple.edu/academics/degree-programs/cyber-defense-information-assurance-certificate-graduate-st-cdia-grad
Graduate certificate in Cyber Defense and Information Assurance Gain practical training in cyber defense with the Graduate certificate in Cyber Defense and Information Assurance in Temple University’s College of Science and Technology. This 12-credit, interdisciplinary certificate program is designed for current working technical professionals at any level of their career seeking the ...
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There are several resources available for student consumption. Each page contains more information, click away! Free Boot Camp and Windows 10 Installation Laptop ...