3 citations · 3 across the 5 of their papers we have counts for
5 papers
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach
Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani +1
In this work, we focus on solving a decentralized consensus problem in a private manner. Specifically, we consider a setting in which a group of nodes, connected through a network,…
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels
Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar +1
We present a low-complexity and low-latency decoding algorithm for a class of Reed-Muller (RM) subcodes that are defined based on the product of smaller RM codes. More specifically…
What Functions Can Graph Neural Networks Generate?
Mohammad Fereydounian, Hamed Hassani, Amin Karbasi
In this paper, we fully answer the above question through a key algebraic condition on graph functions, called \textit{permutation compatibility}, that relates permutations of weig…
Safe Learning under Uncertain Objectives and Constraints
Mohammad Fereydounian, Zebang Shen, Aryan Mokhtari +2
In this paper, we consider non-convex optimization problems under \textit{unknown} yet safety-critical constraints. Such problems naturally arise in a variety of domains including…
Channel Coding at Low Capacity
Mohammad Fereydounian, Hamed Hassani, Mohammad Vahid Jamali +1
Low-capacity scenarios have become increasingly important in the technology of the Internet of Things (IoT) and the next generation of wireless networks. Such scenarios require eff…