iSample: Intelligent Client Sampling in Federated Learning
Author:
Affiliation:
1. The George Washington University,Department of Electrical and Computer Engineering,Washington,DC,USA,20052
Funder
Office of Advanced Cyberinfrastructure
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9798892/9798896/09798986.pdf?arnumber=9798986
Reference21 articles.
1. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
2. An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
3. Federated forest;liu;IEEE Transactions on Big Data,2020
4. Dynamic sampling and selective masking for communication-efficient federated learning;ji,2020
5. Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing
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