Abstract: This paper investigates the problem of distributed secure consensus tracking for leader-following multi-agent systems under the presence of sparse data anomalies in the networks. An extra ...
Abstract: The rapid expansion of multi-tenant AI data centers has intensified the need to safeguard user state and contextual information generated during inference workloads. Unlike traditional ...
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