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Methods for distributed optimization are necessary to solve large-scale problems such as those becoming more common in machine learning. The communication cost associated with transmitting large messages can become a serious performance bottleneck. We propose a consensus-based distributed algorithm to minimize a convex separable objective. Each node holds one component of the objective function, and...
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