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cs.LG2026

Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research

Ciro Benito Raggio, Lucia Migliorelli, Nils Skupien +6

The paper proposes an adaptive encoder‑freezing technique for federated learning that reduces energy use and CO2 emissions while preserving MRI‑to‑CT conversion quality.