R-DOCO: Resilient Distributed Online Convex Optimization Against Adversarial Attacks
This paper addresses the problem of distributed constrained optimization in a multi-agent system where some agents may deviate from the prescribed update rules due to failures or malicious adversarial attacks. The objective is to minimize the collective cost of the unattacked agents while respecting...
| Published in: | Mathematics |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/21/3439 |