Author

Hana Khamfroush

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Conference Open access Jun 2026

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification

This work proposes an analytic federated learning framework for multi-label medical image classification under task heterogeneity that consistently outperforms the state-of-the-art federated multi-label method FedMLP and is backbone-agnostic and generalizes across ResNet, VGG, and EfficientNet encoders without any hyperparameter adjustment.

Afsaneh Mahanipour, Hana Khamfroush · IEEE International Conferenc... · 0 citations