DOE OSTI · code-68925
DistGANS- Distributed Generative Adversarial Neural Networks
Abstract
DistGANs is a Python package to perform distributed training of conditional generative adversarial neural networks for multi-class labeled image data. DistGANs partitionins the training data according to data labels, and enhances scalability by performing a parallel training where multiple generators are concurrently trained, each one of them focusing on a single data label.
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Lupo Pasini, Massimiliano [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)] (0000000249806924), Gabbi, Vittorio, Laanait, Nouamane [Anthem Inc.] (0000000171004250), Mukherjee, Debangshu [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)] (0000000304379807), Starchenko, Vitaliy [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)] (0000000323137379), Yin, Junqi [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)] (0000000338435520), Prokpenko, Andrey [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)] (0000000336165504). 2022-01-07. DistGANS- Distributed Generative Adversarial Neural Networks. https://doi.org/10.11578/dc.20220106.12
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