Peer-Reviewed Conference/Workshop Proceedings:

[C9] R. Saha, V. Srivastava, M. Pilanci, "Matrix Compression via Randomized Low Rank and Low Precision Factorization", 37th Conference on Neural Information Processing Systems (NeurIPS), 2023. [Link] 

[C8] R. Saha, M. Seif, M. Yemini, A. J. Goldsmith, H. V. Poor, "Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy", IEEE International Symposium on Information Theory (ISIT), June 2023. [IEEE Xplore]  [arXiv] 

[C7] R. Saha, M. Pilanci and A. J. Goldsmith, "Low Precision Representations for High Dimensional Models", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023 [Paper] [Slides] [Video] 

[C6] R. Saha, M. Yemini, E. Özfatura, D. Gündüz, A. J. Goldsmith, "ColRel: Collaborative Relaying for Federated Learning over Intermittently Connected Networks", Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022).  [Link] 

[C5] M. Yemini, R. Saha, E. Özfatura, D. Gündüz, A. J. Goldsmith, "Semi-Decentralized Federated Learning with Collaborative Relaying", IEEE International Symposium on Information Theory (ISIT), June 2022. [Paper]

[C4] E. Bıyık, A. Lalitha, R. Saha, A. Goldsmith, D. Sadigh, "Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams" [Paper] [Website]  

[C3] R. Saha, S. Rini, M. Rao, and A. J. Goldsmith, "Decentralized Optimization over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2021. [Paper] [Slides] [Poster] 

[C2] J. Wang, J. Zhang, R. Saha, H. Jin, and S. Kumar, "Pushing the Range Limits of Commercial Passive RFIDs", 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI), Feb 2019. [Paper] [Slides] [Video] 

[C1] R. Saha, B. K. Das, and M. Chakraborty, "Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging", IEEE Workshop on Signal Processing Systems (SiPS), Oct. 2018. [Paper] [Full Paper] 


Journal Publications:

[J3] M. Yemini, R. Saha, E. Özfatura, D. Gündüz, A. J. Goldsmith, "Robust Semi-Decentralized Federated Learning via Collaborative Relaying", IEEE Transactions on Wireless Communications, Dec 2023 [IEEE Xplore] 

[J2] R. Saha, M. Pilanci, and A. J. Goldsmith, "Efficient Randomized Subspace Embeddings for Distributed Optimization under a Communication Budget", IEEE Journal on Selected Areas in Information Theory, Aug 2022. [IEEE Xplore] [Full paper]

[J1] R. Saha, S. Rini, M. Rao, and A. J. Goldsmith, "Decentralized Optimization over Noisy, Rate-Constrained Networks: Achieving Consensus By Communicating Differences", IEEE Journal on Selected Areas in Communications, Feb 2022. [IEEE Xplore] 


Preprints/Under Review:

[P2] R. Saha, M. Seif, M. Yemini, A. J. Goldsmith, H. V. Poor, "Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks"

[P1] R. Saha, M. Pilanci, A. J. Goldsmith, "Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms" [arXiv]  


Workshops:

[W2] "Information theoretic-limits and algorithms for model quantization in high-dimensional learning

[W1] "Distributed Learning and Democratic Embeddings" [Poster] 


Talks:

[T5] "Distributed Optimization under a Communication Budget: How do Randomized Embeddings help?"IEEE Information Theory Workshop (ITW), Nov. 2022. [Video] [Slides] 

[T4] "Federated Learning over Intermittently Connected Networks: How can client collaboration at the edge help?", Dept. of Electrical and Computer Engineering, Carnegie Mellon University, Oct 2022. [Slides] 

[T3] "Mitigating Connectivity Failures in Federated Learning via Collaborative Relaying", Air Force Center of Excellence, Rhodes Information Initiative at Duke, Duke University, May 2022. [Link] [Slides] 

[T2] "Randomized Subspace Embeddings for Learning Under Resource Constraints", Air Force Center of Excellence, Rhodes Information Initiative at Duke, Duke University, Jan 2022. [Link] [Slides] 

[T1] "Fundamental Limits and Efficient Algorithms for Distributed Optimization under Communication Constraints", Stanford SystemX Alliance Fall Conference, Stanford University, Nov 2021. [Link] [Video] [Poster] 


Patents:

[P1] S. Kumar, H. Jin, J. Wang, J. Zhang, and R. Saha, "Method for Extending the Range of Commercial Passive RFID Elements", Application No.: 17/092,575, Publication No.: US2021142013A1. [Link]