FedMPS: Federated Learning in a Synergy of Multi-Level Prototype-Based Contrastive Learning and Soft Label Generation.
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DOI: 10.1109/tnnls.2025.3611832
Abstract: Federated learning (FL) facilitates collaborative training among multiple clients while preserving data privacy by eliminating raw data transmission. However, the inherent data heterogeneity among participants induces bias during collaborative learning, significantly degrading the performance of… read more here.
Keywords: multi level; label generation; prototype; soft label ... See more keywords