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20242026
most citedMaximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning

7 citations · 9 across the 8 of their papers we have counts for

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cs.CV2024★ 2 cited

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity

Yuan Wang, Huazhu Fu, Renuga Kanagavelu +3

The performance of Federated Learning (FL) hinges on the effectiveness of utilizing knowledge from distributed datasets. Traditional FL methods adopt an aggregate-then-adapt framew…