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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...
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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...