Vulnerability Due to Training Order in Split Learning

no code implementations • 26 Mar 2021 • Harshit Madaan, Manish Gawali, Viraj Kulkarni, Aniruddha Pant

Split learning (SL) is a privacy-preserving distributed deep learning method used to train a collaborative model without the need for sharing of patient's raw data between clients.

Privacy Preserving

Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

no code implementations • 23 Dec 2020 • Manish Gawali, Arvind C S, Shriya Suryavanshi, Harshit Madaan, Ashrika Gaikwad, Bhanu Prakash KN, Viraj Kulkarni, Aniruddha Pant

In this paper, we compare three privacy-preserving distributed learning techniques: federated learning, split learning, and SplitFed.

Binary Classification Classification +3