Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging. - Rajarshi Saha; Bijit K. Das; Mrityunjoy Chakraborty (SiPS, 2018)

Pushing the Range Limits of Commercial Passive RFIDs. - Jingxian Wang; Junbo Zhang; Rajarshi Saha; Haojian Jin; Swarun Kumar (NSDI, 2019)

Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree. - Rajarshi Saha; Stefano Rini; Milind Rao; Andrea Goldsmith (ICASSP, 2021)

Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Constraints. - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (CoRR, 2021)

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. - Erdem Biyik; Anusha Lalitha; Rajarshi Saha; Andrea Goldsmith; Dorsa Sadigh (AAAI, 2022)

Semi-Decentralized Federated Learning with Collaborative Relaying. - Michal Yemini; Rajarshi Saha; Emre Ozfatura; Deniz Gündüz; Andrea J. Goldsmith (ISIT, 2022)

Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms. - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (CoRR, 2022)

Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying. - Michal Yemini; Rajarshi Saha; Emre Ozfatura; Deniz Gündüz; Andrea J. Goldsmith (CoRR, 2022)

Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences. - Rajarshi Saha; Stefano Rini; Milind Rao; Andrea J. Goldsmith (IEEE J. Sel. Areas Commun., 2022)

Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget. - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (IEEE J. Sel. Areas Inf. Theory, 2022)

Low Precision Representations for High Dimensional Models. - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (ICASSP, 2023)

Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. - Rajarshi Saha; Mohamed Seif; Michal Yemini; Andrea J. Goldsmith; H. Vincent Poor (ISIT, 2023)

Matrix Compression via Randomized Low Rank and Low Precision Factorization. - Rajarshi Saha; Varun Srivastava; Mert Pilanci (NeurIPS, 2023)

Compressing Large Language Models using Low Rank and Low Precision Decomposition. - Rajarshi Saha; Naomi Sagan; Varun Srivastava; Andrea Goldsmith; Mert Pilanci (NeurIPS, 2024)

Privacy Preserving Semi-Decentralized Mean Estimation Over Intermittently-Connected Networks. - Rajarshi Saha; Mohamed Seif; Michal Yemini; Andrea J. Goldsmith; H. Vincent Poor (IEEE Trans. Signal Process., 2024)

Robust Semi-Decentralized Federated Learning via Collaborative Relaying. - Michal Yemini; Rajarshi Saha; Emre Ozfatura; Deniz Gündüz; Andrea J. Goldsmith (IEEE Trans. Wirel. Commun., 2024)

ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs. - Hongyi Liu; Rajarshi Saha; Zhen Jia; Youngsuk Park; Jiaji Huang; Shoham Sabach; Yu-Xiang Wang 003; George Karypis (CoRR, 2025)