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Decentralized Online Convex Optimization with Event-Triggered Communications
Xuanyu Cao,
Tamer Basar
Electrical and Computer Engineering
Coordinated Science Lab
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Keyphrases
Loss Function
100%
Event-triggered
100%
Local Loss
100%
Online Convex Optimization
100%
Event-triggered Communication
100%
Full Information
50%
Trigger Delay
50%
Regret
50%
Decentralized Multi-Agent
50%
Bandit Feedback
50%
Numerical Results
25%
Two-point
25%
Least Squares
25%
Convex Optimization Problem
25%
Appropriate Behavior
25%
Total Loss
25%
Communication Overhead
25%
Communication Cost
25%
Information Exchange
25%
Descent Algorithm
25%
Multi-agent Optimization
25%
Regret Bounds
25%
Subgradient Descent
25%
Computer Science
Convex Optimization
100%
Triggering Event
100%
Triggered Event
100%
multi agent
66%
Case Information
66%
Optimization Problem
33%
Least Squares Method
33%
Communication Overhead
33%
Communication Cost
33%
Mathematics
Loss Function
100%
Least Square
25%
Minimizes
25%
Upper Bound
25%
Total Loss
25%
Random Point
25%
Subgradient
25%