Greedy Sparsity-Promoting Algorithms for Distributed Learning

  title={Greedy Sparsity-Promoting Algorithms for Distributed Learning},
  author={Symeon Chouvardas and Gerasimos Mileounis and Nicholas Kalouptsidis and Sergios Theodoridis},
  journal={IEEE Transactions on Signal Processing},
This paper focuses on the development of novel greedy techniques for distributed learning under sparsity constraints. Greedy techniques have widely been used in centralized systems due to their low computational requirements and at the same time their relatively good performance in estimating sparse parameter vectors/signals. The paper reports two new algorithms in the context of sparsity-aware learning. In both cases, the goal is first to identify the support set of the unknown signal and then… CONTINUE READING


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