5 citations · 9 across the 4 of their papers we have counts for
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cs.LG2022★ 1 cited
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Hamid Mozaffari, Virendra J. Marathe, Dave Dice
Federated Learning (FL) is a distributed learning paradigm that enables mutually untrusting clients to collaboratively train a common machine learning model. Client data privacy is…
cs.LG2022★ 5 cited
E2FL: Equal and Equitable Federated Learning
Hamid Mozaffari, Amir Houmansadr
Federated Learning (FL) enables data owners to train a shared global model without sharing their private data. Unfortunately, FL is susceptible to an intrinsic fairness issue: due…