Rajarshi Saha

According to our database, Rajarshi Saha authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Semi-Decentralized Federated Learning via Collaborative Relaying.

Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith

IEEE Trans. Wirel. Commun., July, 2024

Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks.

Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor

CoRR, 2024

Compressing Large Language Models using Low Rank and Low Precision Decomposition.

Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci

CoRR, 2024

2023

Matrix Compression via Randomized Low Rank and Low Precision Factorization.

Rajarshi Saha, Varun Srivastava, Mert Pilanci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE International Symposium on Information Theory, 2023

Low Precision Representations for High Dimensional Models.

Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

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

Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms.

Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith

CoRR, 2022

Semi-Decentralized Federated Learning with Collaborative Relaying.

Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith

Proceedings of the IEEE International Symposium on Information Theory, 2022

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams.

Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree.

Rajarshi Saha, Stefano Rini, Milind Rao, Andrea Goldsmith

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Pushing the Range Limits of Commercial Passive RFIDs.

Jingxian Wang, Junbo Zhang, Rajarshi Saha, Haojian Jin, Swarun Kumar

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

2018

Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging.

Rajarshi Saha, Bijit K. Das, Mrityunjoy Chakraborty

Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018