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]
AAAI Conference on Artificial Intelligence, Feb. 2022. [Link]
Artificial Intelligence for Human-Robot Interaction (AI-HRI) at AAAI Fall Symposium Series, Nov 2021. [Link] [Video]
[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]
Communication Efficient Distributed Optimization, NSF-TRIPODS workshop, April 2021. [Link]
Stanford Compression Workshop, Stanford, Feb 2021. [Link]
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]