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cs.LG2023
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
Navjot Singh, Suhas Diggavi
In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of…
cs.LG2023
Multi-Message Shuffled Privacy in Federated Learning
Antonious M. Girgis, Suhas Diggavi
We study differentially private distributed optimization under communication constraints. A server using SGD for optimization aggregates the client-side local gradients for model u…