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Rajarshi Saha
Rajarshi Saha
Ph.D. candidate, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Pushing the range limits of commercial passive {RFIDs}
J Wang, J Zhang, R Saha, H Jin, S Kumar
16th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2019
782019
Semi-decentralized federated learning with collaborative relaying
M Yemini, R Saha, E Ozfatura, D Gündüz, AJ Goldsmith
2022 IEEE International Symposium on Information Theory (ISIT), 1471-1476, 2022
302022
Decentralized optimization over noisy, rate-constrained networks: Achieving consensus by communicating differences
R Saha, S Rini, M Rao, AJ Goldsmith
IEEE Journal on Selected Areas in Communications 40 (2), 449-467, 2021
29*2021
Robust Semi-Decentralized Federated Learning via Collaborative Relaying
M Yemini, R Saha, E Ozfatura, D Gündüz, AJ Goldsmith
IEEE Transactions on Wireless Communications, 2023
8*2023
Matrix compression via randomized low rank and low precision factorization
R Saha, V Srivastava, M Pilanci
Advances in Neural Information Processing Systems 36, 2023
82023
Efficient randomized subspace embeddings for distributed optimization under a communication budget
R Saha, M Pilanci, AJ Goldsmith
IEEE Journal on Selected Areas in Information Theory 3 (2), 183-196, 2022
6*2022
ColRel: Collaborative relaying for federated learning over intermittently connected networks
R Saha, M Yemini, E Ozfatura, D Gunduz, A Goldsmith
Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022
32022
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
E Biyik, A Lalitha, R Saha, A Goldsmith, D Sadigh
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9296-9303, 2022
32022
Minimax optimal quantization of linear models: Information-theoretic limits and efficient algorithms
R Saha, M Pilanci, AJ Goldsmith
arXiv preprint arXiv:2202.11277, 2022
22022
Compressing Large Language Models using Low Rank and Low Precision Decomposition
R Saha, N Sagan, V Srivastava, AJ Goldsmith, M Pilanci
arXiv preprint arXiv:2405.18886, 2024
12024
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy
R Saha, M Seif, M Yemini, AJ Goldsmith, H Vincent Poor
2023 IEEE International Symposium on Information Theory (ISIT), 2023
12023
Low precision representations for high dimensional models
R Saha, M Pilanci, AJ Goldsmith
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
12023
Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging
R Saha, BK Das, M Chakraborty
2018 IEEE International Workshop on Signal Processing Systems (SiPS), 217-222, 2018
12018
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks
R Saha, M Seif, M Yemini, AJ Goldsmith, HV Poor
arXiv preprint arXiv:2406.03766, 2024
2024
ISSUE ON DISTRIBUTED CODING AND COMPUTATION
F Farnia, A Reisizadeh, R Pedarsani, A Jadbabaie, X Wang, A Lalitha, ...
Challenges in Scalable Distributed Training of Deep Neural Networks under communication constraints (Project Report for CS230, Winter 2021)
K Pistunova, R Saha, A Nalla
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