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- W2238696822 abstract "We design and analyze a fully distributed algorithm for convex constrained optimization in networks without any consistent naming infrastructure. The algorithm produces an approximately feasible and near-optimal solution in time polynomial in the network size, the inverse of the permitted error, and a measure of curvature variation in the dual optimization problem. It blends, in a novel way, gossip-based information spreading, iterative gradient ascent, and the barrier method from the design of interior-point algorithms." @default.
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- W2238696822 date "2010-10-01" @default.
- W2238696822 modified "2023-09-25" @default.
- W2238696822 title "FULLY DISTRIBUTED ALGORITHMS FOR CONVEX OPTIMIZATION PROBLEMS" @default.
- W2238696822 hasPublicationYear "2010" @default.
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