Skip to main navigation
Skip to search
Skip to main content
Bar-Ilan University Home
Help & FAQ
Link opens in a new tab
Search content at Bar-Ilan University
Home
Researchers
Organisations
Research output
Prizes
Student theses
Courses
Activities
Projects
Press/Media
Datasets
Equipment
Distributed learning in congested environments with partial information
Amir Leshem
, Vikram Krishnamurthy
, Tomer Boyarski
Bar-Ilan University - The Alexander Kofkin Faculty of Engineering
The Network Science Impact Center
DSAI - Data Science & AI Institute
Signal Processing (BIU Engineering)
Cornell University
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Distributed learning in congested environments with partial information'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Partial Information
100%
Distributed Learning
100%
Congested Environment
100%
Numerical Simulation
50%
Cloud Computing
50%
Non-communicable
50%
Distributed Algorithms
50%
Optimal Allocation
50%
Multi-armed Bandit Problem
50%
Non-asymptotic
50%
Challenging Tasks
50%
Spectrum Sharing
50%
Fully Distributed Algorithm
50%
Communicating Agents
50%
Resource Valuation
50%
Agent-regret
50%
Asymptotic Regime
50%
Multi-agent multi-armed Bandit
50%
Computer Science
Distributed Learning
100%
Distributed Algorithm
100%
multi agent
50%
spectrum sharing
50%
Computational Simulation
50%
Optimal Allocation
50%
Numerical Simulation
50%
Cloud Computing
50%