5 citations · 6 across the 3 of their papers we have counts for
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cs.LG2022★ 5 cited
MDA: Availability-Aware Federated Learning Client Selection
Amin Eslami Abyane, Steve Drew, Hadi Hemmati
Recently, a new distributed learning scheme called Federated Learning (FL) has been introduced. FL is designed so that server never collects user-owned data meaning it is great at…
cs.LG2022★ 1 cited
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness
Amin Eslami Abyane, Derui Zhu, Roberto Souza +2
Federated learning (FL) is a distributed learning paradigm that preserves users' data privacy while leveraging the entire dataset of all participants. In FL, multiple models are tr…
cs.LG2021
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
Amin Eslami Abyane, Hadi Hemmati
With the recent increase in the computational power of modern mobile devices, machine learning-based heavy tasks such as face detection and speech recognition are now integral part…