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20242026
most citedOptimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

2 citations · 4 across the 13 of their papers we have counts for

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stat.ME2024

PriME: Privacy-aware Membership profile Estimation in networks

Abhinav Chakraborty, Sayak Chatterjee, Sagnik Nandy

This paper presents a novel approach to estimating community membership probabilities for network vertices generated by the Degree Corrected Mixed Membership Stochastic Block Model…

stat.ME2024

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model

Abhinav Chakraborty, Anirban Chatterjee, Abhinandan Dalal

The Ising model, originally developed as a spin-glass model for ferromagnetic elements, has gained popularity as a network-based model for capturing dependencies in agents' outputs…