Author

Reza Namvar

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#federated learning Open access Nov 2026

FLEAT: Energy-Accuracy Trade-Off in Federated Learning Over Heterogeneous Edge Devices

This work proposes FLEAT (Federated Learning Energy and Accuracy Tuning), a framework that jointly optimizes energy efficiency and model accuracy via dynamic local update adaptation and gradient-informed layer-wise pruning, offering a scalable solution for energy-accuracy equilibrium in heterogeneous FL deployments.

Javad Dogani, Reza Namvar, Masoumeh Khodarahmi et al. · IEEE Transactions on Mobile... · 0 citations