Abstract: Federated learning (FL) has gained attention for enabling efficient distributed learning while maintaining data privacy. However, the data privacy constraint reduces the transparency in the ...
Abstract: This article focuses on the Byzantine-resilient distributed filtering problem for a class of stochastic nonlinear systems (SNSs) over sensor networks. The phenomenon of measurement censoring ...
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