11 citations · 11 across the 9 of their papers we have counts for
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cs.LG2021
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar +1
Due to the surge of cloud-assisted AI services, the problem of designing resilient prediction serving systems that can effectively cope with stragglers/failures and minimize respon…
cs.LG2020★ 11 cited
Privacy-Preserving Distributed Learning in the Analog Domain
Mahdi Soleymani, Hessam Mahdavifar, A. Salman Avestimehr
We consider the critical problem of distributed learning over data while keeping it private from the computational servers. The state-of-the-art approaches to this problem rely on…