Abstract: The distributed state estimation problem of fault sensors with decreased detection accuracy is investigated. The biggest challenge is to reduce or even eliminate the influence of local state ...
Abstract: Compared to traditional centralized clustering, distributed clustering offers the advantage of parallel processing of data from different sites, enhancing the efficiency of clustering while ...
The rapid growth of large-scale AI and machine learning workloads in globally distributed data centers has brought with it unprecedented computing power and, with it, an ever-increasing carbon ...
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