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Rajarshi Saha
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2020 – today
- 2024
- [j3]Michal Yemini
, Rajarshi Saha
Robust Semi-Decentralized Federated Learning via Collaborative Relaying. IEEE Trans. Wirel. Commun. 23(7): 7520-7536 (2024) - [i10]Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci:
Compressing Large Language Models using Low Rank and Low Precision Decomposition. CoRR abs/2405.18886 (2024) - [i9]Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor:
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks. CoRR abs/2406.03766 (2024) - 2023
- [c8]Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith:
Low Precision Representations for High Dimensional Models. ICASSP 2023: 1-5 - [c7]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: 174-179 - [c6]Rajarshi Saha, Varun Srivastava, Mert Pilanci:
Matrix Compression via Randomized Low Rank and Low Precision Factorization. NeurIPS 2023 - [i8]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 abs/2303.00035 (2023) - [i7]Rajarshi Saha, Varun Srivastava, Mert Pilanci:
Matrix Compression via Randomized Low Rank and Low Precision Factorization. CoRR abs/2310.11028 (2023) - 2022
- [j2]Rajarshi Saha
Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences. IEEE J. Sel. Areas Commun. 40(2): 449-467 (2022) - [j1]Rajarshi Saha
Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget. IEEE J. Sel. Areas Inf. Theory 3(2): 183-196 (2022) - [c5]Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. AAAI 2022: 9296-9303 - [c4]Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith:
Semi-Decentralized Federated Learning with Collaborative Relaying. ISIT 2022: 1471-1476 - [i6]Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith:
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms. CoRR abs/2202.11277 (2022) - [i5]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 abs/2202.11850 (2022) - [i4]Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith:
Semi-Decentralized Federated Learning with Collaborative Relaying. CoRR abs/2205.10998 (2022) - 2021
- [c3]Rajarshi Saha
Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree. ICASSP 2021: 5055-5059 - [i3]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 abs/2103.07578 (2021) - [i2]Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. CoRR abs/2110.00751 (2021) - 2020
- [i1]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 abs/2010.11292 (2020)
2010 – 2019
- 2019
- [c2]Jingxian Wang, Junbo Zhang, Rajarshi Saha, Haojian Jin, Swarun Kumar:
Pushing the Range Limits of Commercial Passive RFIDs. NSDI 2019: 301-316 - 2018
- [c1]Rajarshi Saha, Bijit K. Das, Mrityunjoy Chakraborty:
Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging. SiPS 2018: 217-222
Coauthor Index
aka: Andrea Goldsmith
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