371 citations · 2.6k across the 122 of their papers we have counts for
6 papers · 1 filter
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…
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
Michal Yemini, Rajarshi Saha, Emre Ozfatura +2
Intermittent connectivity of clients to the parameter server (PS) is a major bottleneck in federated edge learning frameworks. The lack of constant connectivity induces a large gen…
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
High-dimensional models often have a large memory footprint and must be quantized after training before being deployed on resource-constrained edge devices for inference tasks. In…