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Adaptive dual-mode distillation for robust and communication-efficient federated learning under statistical and model heterogeneity
Zahid Iqbal, Fatima N. Al-Aswadi, Haziqah Shamsudin, Mohammad Aljaidi, Tamara Amjad Al-Qablan, Tanja Pavleska, Ali Fayez Alkoradees
Izvirni znanstveni članek
Oznake: federated learning;decentralized learning;incentive mechanisms;knowledge distillation;
The growing volume of data from smart devices offers significant potential for machine learning, yet privacy concerns hinder centralized use. Federated Learning (FL) has emerged as a promising decentralized learning (DL) approach enabling the use of distributed data without compromising privacy. How ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
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