The Voter Model and Jump Diffusion. - Jimit Majmudar; Stephen M. Krone; Bert O. Baumgaertner; Rebecca C. Tyson (CoRR, 2015)

Provable Overlapping Community Detection in Weighted Graphs. - Jimit Majmudar; Stephen A. Vavasis (NeurIPS, 2020)

Robust Correlation Clustering with Asymmetric Noise. - Jimit Majmudar; Stephen A. Vavasis (CoRR, 2021)

Federated Learning with Noisy User Feedback. - Rahul Sharma; Anil Ramakrishna; Ansel MacLaughlin; Anna Rumshisky; Jimit Majmudar; Clement Chung; Salman Avestimehr; Rahul Gupta 001 (NAACL-HLT, 2022)

Differentially Private Decoding in Large Language Models. - Jimit Majmudar; Christophe Dupuy; Charith Peris; Sami Smaili; Rahul Gupta 001; Richard S. Zemel (CoRR, 2022)

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. - Mustafa Özdayi; Charith Peris; Jack FitzGerald; Christophe Dupuy; Jimit Majmudar; Haidar Khan; Rahil Parikh; Rahul Gupta 001 (ACL (2), 2023)

Coordinated Replay Sample Selection for Continual Federated Learning. - Jack Good; Jimit Majmudar; Christophe Dupuy; Jixuan Wang; Charith Peris; Clement Chung; Richard S. Zemel; Rahul Gupta 001 (EMNLP (Industry Track), 2023)

Quantifying Catastrophic Forgetting in Continual Federated Learning. - Christophe Dupuy; Jimit Majmudar; Jixuan Wang; Tanya G. Roosta; Rahul Gupta 001; Clement Chung; Jie Ding 002; Salman Avestimehr (ICASSP, 2023)

Privacy in the Time of Language Models. - Charith Peris; Christophe Dupuy; Jimit Majmudar; Rahil Parikh; Sami Smaili; Richard S. Zemel; Rahul Gupta 001 (WSDM, 2023)

Partial Federated Learning. - Tiantian Feng; Anil Ramakrishna; Jimit Majmudar; Charith Peris; Jixuan Wang; Clement Chung; Richard S. Zemel; Morteza Ziyadi; Rahul Gupta 001 (CoRR, 2024)