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cs.LG2023★ 1 cited
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
Fan Dong, Ali Abbasi, Henry Leung +3
Federated learning offers a promising approach under the constraints of networking and data privacy constraints in aerial and space networks (ASNs), utilizing large-scale private e…
cs.LG2023
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks
Jiajun Wu, Steve Drew, Jiayu Zhou
Federated learning (FL) is a distributed and privacy-preserving learning framework for predictive modeling with massive data generated at the edge by Internet of Things (IoT) devic…