Abstract: Under non-independent and identically distributed (non-IID) data conditions, static weighted aggregation strategies in Federated Learning (FL) often fail to reflect each client's effective ...
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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