activity
20182024
most citedAge of Information for Discrete Time Queues

51 citations · 52 across the 2 of their papers we have counts for

collaborators

11 papers

cs.LG2021

Neural Trees for Learning on Graphs

Rajat Talak, Siyi Hu, Lisa Peng +1

Graph Neural Networks (GNNs) have emerged as a flexible and powerful approach for learning over graphs. Despite this success, existing GNNs are constrained by their local message-p…

cs.NI2019

Age-Delay Tradeoffs in Queueing Systems

Rajat Talak, Eytan Modiano

We consider an M server system in which each server can service at most one update packet at a time. The system designer controls (1) scheduling - the order in which the packets ge…

stat.ML2019

A Theory of Uncertainty Variables for State Estimation and Inference

Rajat Talak, Sertac Karaman, Eytan Modiano

We develop a new framework of uncertainty variables to model uncertainty. An uncertainty variable is characterized by an uncertainty set, in which its realization is bound to lie,…

cs.IT201951 cited

Age of Information for Discrete Time Queues

Vishrant Tripathi, Rajat Talak, Eytan Modiano

Age of information (AoI) is a time-evolving measure of information freshness, that tracks the time since the last received fresh update was generated. Analyzing peak and average Ao…

cs.IT2019

Age-Delay Tradeoffs in Single Server Systems

Rajat Talak, Eytan Modiano

Information freshness and low latency communication is important to many emerging applications. While Age of Information (AoI) serves as a metric of information freshness, packet d…

cs.IT2019

Age Optimal Information Gathering and Dissemination on Graphs

Vishrant Tripathi, Rajat Talak, Eytan Modiano

We consider the problem of timely exchange of updates between a central station and a set of ground terminals , via a mobile agent that traverses across the ground terminals alo…