4 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model
Amartya Bhattacharya, Manish Gawali, Jitesh Seth +1
While developing artificial intelligence (AI)-based algorithms to solve problems, the amount of data plays a pivotal role - large amount of data helps the researchers and engineers…
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.…
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
Viraj Kulkarni, Manish Gawali, Amit Kharat
The use of machine learning to develop intelligent software tools for interpretation of radiology images has gained widespread attention in recent years. The development, deploymen…
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…