Performance evaluation;Privacy;Federated learning;Spectral efficiency;Concept drift;Storage management;Prototypes;Stability analysis;Internet of Things;Streams;Online Federated Learning;Concept Drift;Federated Continual Learning;Communication Efficient

Drift Detection and Adaptation for Federated Learning in IoT with Adaptive Device Management
Federated learning (FL) is a promising approach for edge/IoT-based distributed machine learning, where both privacy and bandwidth …
Shuang Zhou, Shashank Shekhar, Ajay Chhokra, Abhishek Dubey, Aniruddha Gokhale
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