Mutual Information Driven Federated Learning
Version 2 2024-05-30, 16:19
Version 1 2020-11-29, 15:54
journal contribution
posted on 2024-05-30, 16:19 authored by MP Uddin, Yong XiangYong Xiang, X Lu, John YearwoodJohn Yearwood, L GaoMutual Information Driven Federated Learning
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Journal
IEEE Transactions on Parallel and Distributed SystemsVolume
32Pagination
1526-1538Location
Piscataway, N.J.Publisher DOI
ISSN
1045-9219eISSN
1558-2183Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
7Publisher
IEEE COMPUTER SOCPublication URL
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Keywords
Science & TechnologyTechnologyComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringData modelsTrainingComputational modelingServersMathematical modelConvergenceAnalytical modelsDistributed learningfederated learningparallel optimizationdata parallelisminformation theorymutual informationcommunication bottleneckdata heterogeneityFEATURE-SELECTION
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