Abstract: As Internet of Things (IoT) networks grow larger, the amount of data that needs to be collected at a fusion center increases rapidly. However, data collection based solely on multi-hop ...
Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...
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