Differentially-private Federated Neural Architecture Search

16 Jun 2020 Ishika Singh Haoyi Zhou Kunlin Yang Meng Ding Bill Lin Pengtao Xie

Neural architecture search, which aims to automatically search for architectures (e.g., convolution, max pooling) of neural networks that maximize validation performance, has achieved remarkable progress recently. In many application scenarios, several parties would like to collaboratively search for a shared neural architecture by leveraging data from all parties... (read more)

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