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Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2970336
Abstract: This paper considers optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie in low-dimensional…
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Keywords:
part;
learning networks;
adaptation learning;
subspace ... See more keywords