Rajarshi Saha

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks. CoRR (2024)
Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci
Compressing Large Language Models using Low Rank and Low Precision Decomposition. CoRR (2024)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Robust Semi-Decentralized Federated Learning via Collaborative Relaying. IEEE Trans. Wirel. Commun. 23 (7) (2024)
Rajarshi Saha, Varun Srivastava, Mert Pilanci
Matrix Compression via Randomized Low Rank and Low Precision Factorization. NeurIPS (2023)
Rajarshi Saha, Varun Srivastava, Mert Pilanci
Matrix Compression via Randomized Low Rank and Low Precision Factorization. CoRR (2023)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Low Precision Representations for High Dimensional Models. ICASSP (2023)
Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. ISIT (2023)
Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. CoRR (2023)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying. CoRR (2022)
Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. AAAI (2022)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Semi-Decentralized Federated Learning with Collaborative Relaying. ISIT (2022)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms. CoRR (2022)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Semi-Decentralized Federated Learning with Collaborative Relaying. CoRR (2022)
Rajarshi Saha, Stefano Rini, Milind Rao, Andrea J. Goldsmith
Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences. IEEE J. Sel. Areas Commun. 40 (2) (2022)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. CoRR (2021)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Constraints. CoRR (2021)
Rajarshi Saha, Stefano Rini, Milind Rao, Andrea Goldsmith
Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree. ICASSP (2021)
Rajarshi Saha, Stefano Rini, Milind Rao, Andrea Goldsmith
Decentralized optimization over noisy, rate-constrained networks: How we agree by talking about how we disagree. CoRR (2020)
Jingxian Wang, Junbo Zhang, Rajarshi Saha, Haojian Jin, Swarun Kumar
Pushing the Range Limits of Commercial Passive RFIDs. NSDI (2019)
Rajarshi Saha, Bijit K. Das, Mrityunjoy Chakraborty
Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging. SiPS (2018)