IEEE

Low-Latency and Energy-Efficient Federated Learning Over Cell-Free Networks: A Trade-Off Analysis

Abstract: Federated learning (FL) enables distributed model training by exchanging models rather than raw data, preserving privacy and reducing communication overhead. However, as the number of FL ...
IEEE

Asynchronous Federated Learning via Over-the-Air Computation in LEO Satellite Networks

Abstract: Owing to its ability to offer collaborative data utilization while ensuring data privacy, federated learning (FL) provides a promising paradigm to enable cooperative intelligent tasks across ...