55 citations · 57 across the 4 of their papers we have counts for
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cs.LG2023
Systemic Fairness
Arindam Ray, Balaji Padmanabhan, Lina Bouayad
Machine learning algorithms are increasingly used to make or support decisions in a wide range of settings. With such expansive use there is also growing concern about the fairness…
cs.CR2023★ 1 cited
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
Rouzbeh Behnia, Arman Riasi, Reza Ebrahimi +3
Secure aggregation protocols ensure the privacy of users' data in federated learning by preventing the disclosure of local gradients. Many existing protocols impose significant com…