Title | ||
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Distributed Heuristic Adaptive Neural Networks With Variance Reduction in Switching Graphs. |
Abstract | ||
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This article proposes a distributed adaptive training method for neural networks in switching communication graphs to deal with the problems concerned with massive data or privacy-related data. First, the stochastic variance reduced gradient (SVRG) is used for the training of neural networks. Then, the authors propose a heuristic adaptive consensus algorithm for distributed training, which adaptiv... |
Year | DOI | Venue |
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2021 | 10.1109/TCYB.2019.2956291 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Neural networks,Training,Consensus algorithm,Convergence,Topology,Stochastic processes,Computational modeling | Journal | 51 |
Issue | ISSN | Citations |
7 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bo Liu | 1 | 0 | 1.35 |
Zhengtao Ding | 2 | 31 | 5.53 |