19 citations · 31 across the 8 of their papers we have counts for
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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…
cs.CR2023★ 2 cited
ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline
Haodi Wang, Thang Hoang
Machine Learning as a service (MLaaS) permits resource-limited clients to access powerful data analytics services ubiquitously. Despite its merits, MLaaS poses significant concerns…