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Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
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50TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING,
2021,
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Can hierarchical client clustering mitigate the data heterogeneity effect in federated learning?
[J].
2023 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS, IPDPSW,
2023,
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FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning
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2023 19TH INTERNATIONAL CONFERENCE ON MOBILITY, SENSING AND NETWORKING, MSN 2023,
2023,
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UFed-GAN: Secure Federated Learning over Wireless Sensor Networks with Unlabeled Data
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2024 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2024,
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Scout:An Efficient Federated Learning Client Selection Algorithm Driven by Heterogeneous Data and Resource
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2023 IEEE INTERNATIONAL CONFERENCE ON JOINT CLOUD COMPUTING, JCC,
2023,
:46-49