Author

F. Khunjush

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Preprint Aug 2026

HugSelect: An Explainable Multi-Criteria Decision-Support Framework for foundation-model selection

It is argued that foundation-model selection should be treated as an explicit, auditable software-component selection task rather than as keyword search, popularity ranking, or opaque conversational advice, and HugSelect, an explainable decision-support framework for foundation-model selection is proposed.

Alireza Joonbakhsh, Arda Canser Adalı, Slinger Jansen et al. · 0 citations

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