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Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
Decentralized optimization over directed graphs underlies applications such asrobotic swarms, sensor networks, and distributed learning. In many such systems, the network is a Time-Varying Broadcast Network (TVBN), in which out-degrees are unknown and only row-stochastic mixing matrices can beconstr
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