Abstract: Federated learning (FL) is a privacy-preserving distributed machine learning framework that allows collaborative model training among multiple clients without disclosing their raw training ...
Abstract: This paper investigates the inverse covariance intersection (ICI) fusion filtering issue for multi-rate nonlinear systems under the influence of random sensor saturations, in which the ...
For years, pundits have lamented that America no longer builds things. Bridges and roads take decades to complete, and housing construction in many places has slowed to a crawl. Governments at all ...
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