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Adaptive networks are suitable for decentralized inference tasks. Recent works have intensively studied distributed optimization problems in the case where the nodes have to estimate a single optimum parameter vector collaboratively. However, there are many important applications that are multitask-oriented in the sense that there are multiple optimum parameter vectors to be inferred simultaneously,...
Diffusion LMS algorithm has been extensively studied during the last few years. This efficient approach allows to address distributed optimization problems over sensor networks in the case where the nodes have to collaboratively estimate a single parameter vector. Nevertheless, real-life problems are often multitask-oriented in the sense that the optimum parameter vector may not be the same for every...
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