Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?

16 Mar 2020Sharif AbuadbbaKyuyeon KimMinki KimChandra ThapaSeyit A. CamtepeYansong GaoHyoungshick KimSurya Nepal

A new collaborative learning, called split learning, was recently introduced, aiming to protect user data privacy without revealing raw input data to a server. It collaboratively runs a deep neural network model where the model is split into two parts, one for the client and the other for the server... (read more)

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