Abstract: This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to ...
Abstract: Traditional knowledge aggregation methods are mostly limited to the physical splicing of data and information resources, lacking deep semantic correlations. Domain knowledge aggregation has ...
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