Abstract: Machine learning (ML) tasks are becoming ubiquitous in today's network applications. Federated learning has emerged recently as a technique for training ML models at the network edge by ...
Abstract: Despite tremendous improvements in sensing mechanisms at the hardware level, sensor drift is still an issue for reliable Internet of Things (IoT) applications. Existing literature is limited ...
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