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This work develops a decentralized adaptive strategy for throughput maximization over peer-to-peer (P2P) networks. The adaptive strategy can cope with changing network topologies, is robust to network disruptions, and does not rely on central processors. The algorithm is obtained as a special case of a more general diffusion strategy for the distributed solution of optimization problems with constraints. Simulation results illustrate how the proposed technique is competitive with other methods.
Pascal Frossard, Roberto Gerson De Albuquerque Azevedo, Chaofan He
Verónica del Carmen Estrada Galiñanes