Self-Supervised Federated Learning under Data Heterogeneity for Label-Scarce Diatom Classification
arXiv:2603.29633v1 Announce Type: new
Abstract: Label-scarce visual classification under decentralized and heterogeneous data is a fundamental challenge in pattern recognition, especially when sites exhibit partially overlapping class sets. While self…