| 2025 | ICML | 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, George Karypis |
| 2023 | ICASSP | Low Precision Representations for High Dimensional Models. | Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith |
| 2023 | ISIT | Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. | Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor |
| 2022 | AAAI | Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. | Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh |
| 2022 | ISIT | Semi-Decentralized Federated Learning with Collaborative Relaying. | Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gndz, Andrea J. Goldsmith |
| 2021 | ICASSP | Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree. | Rajarshi Saha, Stefano Rini, Milind Rao, Andrea Goldsmith |
| 2019 | NSDI | Pushing the Range Limits of Commercial Passive RFIDs. | Jingxian Wang, Junbo Zhang, Rajarshi Saha, Haojian Jin, Swarun Kumar |