6 citations · 15 across the 23 of their papers we have counts for
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cs.CR2021★ 2 cited
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
Adam Yala, Homa Esfahanizadeh, Rafael G. L. D' Oliveira +6
Balancing the needs of data privacy and predictive utility is a central challenge for machine learning in healthcare. In particular, privacy concerns have led to a dearth of public…
cs.IT2021
Stream Distributed Coded Computing
Alejandro Cohen, Guillaume Thiran, Homa Esfahanizadeh +1
The emerging large-scale and data-hungry algorithms require the computations to be delegated from a central server to several worker nodes. One major challenge in the distributed c…