Optimizing federated learning with weighted aggregation in aerial and space networks

Published: 01 Jan 2025, Last Modified: 17 Jan 2025J. Netw. Comput. Appl. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Statistical heterogeneity was dissected into diversity and label heterogeneity.•A theoretical analysis was conducted to guide the optimization of FL.•The WeiAvgCS and FedBalance algorithms were developed to address heterogeneity.•Extensive experiments results demonstrate the superiority of the proposed algorithms.
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