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  1. No Access

    Chapter and Conference Paper

    Communication-Efficient Distributed Minimax Optimization via Markov Compression

    Recently, the minimax problem has attracted a lot of attention due to its wide applications in modern machine learning fields such as GANs. With the exponential growth of data volumes and increasing problem si...

    Linfeng Yang, Zhen Zhang, Keqin Che, Shaofu Yang… in Neural Information Processing (2024)

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    Chapter and Conference Paper

    A Snapshot Gradient Tracking for Distributed Optimization over Digraphs

    This paper addresses distributed optimization problems over digraphs in which multiple agents cooperatively minimize the finite sum of their local objective functions via local communication. To improve the co...

    Keqin Che, Shaofu Yang in Artificial Intelligence (2022)