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cs.LG2020
FLaPS: Federated Learning and Privately Scaling
Sudipta Paul, Poushali Sengupta, Subhankar Mishra
Federated learning (FL) is a distributed learning process where the model (weights and checkpoints) is transferred to the devices that posses data rather than the classical way of…
cs.LG2020
BUDS: Balancing Utility and Differential Privacy by Shuffling
Poushali Sengupta, Sudipta Paul, Subhankar Mishra
Balancing utility and differential privacy by shuffling or \textit{BUDS} is an approach towards crowd-sourced, statistical databases, with strong privacy and utility balance using…