371 citations · 2.6k across the 122 of their papers we have counts for
151 papers
Compressing Large Language Models using Low Rank and Low Precision Decomposition
Rajarshi Saha, Naomi Sagan, Varun Srivastava +2
The prohibitive sizes of Large Language Models (LLMs) today make it difficult to deploy them on memory-constrained edge devices. This work introduces -- a new post-tr…
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy
Rajarshi Saha, Mohamed Seif, Michal Yemini +2
This work considers the problem of Distributed Mean Estimation (DME) over networks with intermittent connectivity, where the goal is to learn a global statistic over the data sampl…
Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems
Michal Yemini, Angelia Nedić, Andrea J. Goldsmith +1
This work focuses on the problem of distributed optimization in multi-agent cyberphysical systems, where a legitimate agent's iterates are influenced both by the values it receives…
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini +2
We develop a resilient binary hypothesis testing framework for decision making in adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust observations…
Semi-Decentralized Federated Learning with Collaborative Relaying
Michal Yemini, Rajarshi Saha, Emre Ozfatura +2
We present a semi-decentralized federated learning algorithm wherein clients collaborate by relaying their neighbors' local updates to a central parameter server (PS). At every com…
Composite IG/FTR Channel Performance in Wireless Communication Systems
Maryam Olyaee, Juan M. Romero-Jerez, F. Javier López-Martínez +1
We present a composite wireless fading model encompassing multipath fading and shadowing based on fluctuating two-ray (FTR) fading and inverse gamma (IG) shadowing. We first determ…