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We consider regularized distributed optimization problems over networks. The problem arises from many existing domains, such as coordinated control, sensor fusion and distributed learning. We propose a new framework based on Bregman method and operator splitting, which allows us to come up with a general distributed algorithm, termed Distributed Forward-Backward Bregman Splitting (D-FBBS). The proposed...
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