Abstract: In edge inference systems, efficient model deployment and accurate forecasting of online service requests are critical for maintaining optimal performance and resource utilization. This ...
Abstract: Federated learning (FL) presents a promising paradigm for decentralized machine learning, particularly well-suited for data-sensitive cyber-physical systems (CPS) where privacy preservation ...
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