Augment Decentralized Online Convex Optimization with Arbitrarily Bad Machine-Learned Predictions
Author:
Affiliation:
1. Hong Kong Baptist University,Department of Interactive Media,Hong Kong
2. The University of Hong Kong,Department of Computer Science,Hong Kong
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10630852/10630896/10631095.pdf?arnumber=10631095
Reference9 articles.
1. A survey on distributed online optimization and online games
2. Robust Decentralized Online Learning against Malicious Data Generators and Dynamic Feedback Delays with Application to Traffic Classification
3. Byzantine-Resilient Online Federated Learning with Applications to Network Traffic Classification
4. Optimized Gradient Tracking for Decentralized Online Learning
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