12 citations · 12 across the 5 of their papers we have counts for
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cs.CR2022
LOCKS: User Differentially Private and Federated Optimal Client Sampling
Ajinkya K Mulay
With changes in privacy laws, there is often a hard requirement for client data to remain on the device rather than being sent to the server. Therefore, most processing happens on…
cs.CR2021★ 12 cited
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
Rakshit Naidu, Harshita Diddee, Ajinkya Mulay +3
In recent years, machine learning techniques utilizing large-scale datasets have achieved remarkable performance. Differential privacy, by means of adding noise, provides strong pr…