147 citations · 393 across the 14 of their papers we have counts for
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cs.LG2023★ 2 cited
WW-FL: Secure and Private Large-Scale Federated Learning
Felix Marx, Thomas Schneider, Ajith Suresh +3
Federated learning (FL) is an efficient approach for large-scale distributed machine learning that promises data privacy by keeping training data on client devices. However, recent…
cs.LG2019★ 147 cited
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
Harsh Chaudhari, Rahul Rachuri, Ajith Suresh
Machine learning has started to be deployed in fields such as healthcare and finance, which propelled the need for and growth of privacy-preserving machine learning (PPML). We prop…