Distributed Learning in Non-Convex Environments-Part II: Polynomial Escape From Saddle-Points

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This paper considers the problem of resilient distributed optimization and stochastic learning in a server-based architecture. The system comprises a server and multiple agents, where each agent has its own local cost function. The agents collaborate with ...

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