29 citations · 77 across the 10 of their papers we have counts for
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cs.DC2020★ 2 cited
Secure and Fault Tolerant Decentralized Learning
Saurav Prakash, Hanieh Hashemi, Yongqin Wang +2
Federated learning (FL) is a promising paradigm for training a global model over data distributed across multiple data owners without centralizing clients' raw data. However, shari…
cs.CR2020★ 14 cited
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
Protecting the privacy of input data is of growing importance as machine learning methods reach new application domains. In this paper, we provide a unified training and inference…