ACMFed: Fair Semi-Supervised Federated Learning With Additional Compromise Model
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DOI: 10.1109/access.2025.3536639
Abstract: One of the major drawbacks of federated learning (FL) is data imbalance and uneven reliability of clients, which adversely impacts model performance and generalization ability. Among these problems, data imbalance can be addressed through semi-supervised… read more here.
Keywords: compromise; semi supervised; acmfed fair; model ... See more keywords