"Traditional AI architectures were built on the assumption that data could be freely centralized. That assumption no longer ...
Abstract: The demand for secure data sharing is growing fast in sensitive domains like healthcare, finance, and IoT. Federated Learning (FL) introduces a decentralised machine learning paradigm ...
Abstract: This paper investigates a class of constrained distributed zeroth-order optimization (ZOO) problems over time-varying unbalanced graphs while ensuring privacy preservation among individual ...
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