4 citations · 10 across the 6 of their papers we have counts for
3 papers · 1 filter
Vulnerability Due to Training Order in Split Learning
Harshit Madaan, Manish Gawali, Viraj Kulkarni +1
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.…
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
Manish Gawali, Arvind C S, Shriya Suryavanshi +5
In this paper, we compare three privacy-preserving distributed learning techniques: federated learning, split learning, and SplitFed. We use these techniques to develop binary clas…
Survey of Personalization Techniques for Federated Learning
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
Federated learning enables machine learning models to learn from private decentralized data without compromising privacy. The standard formulation of federated learning produces on…