Decentralized Knowledge and Learning in Strategic Multi-user Communication
Yi Su, Mihaela van der Schaar
TL;DR
This paper explores decentralized methods for knowledge sharing and learning in strategic multi-user communication systems, aiming to improve efficiency and robustness without centralized control.
Contribution
It introduces a novel decentralized framework for knowledge exchange and learning in multi-user communication, addressing strategic behavior and information asymmetry.
Findings
Decentralized approach outperforms centralized methods in certain scenarios.
The proposed method enhances robustness against strategic manipulation.
Empirical results demonstrate improved communication efficiency.
Abstract
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Taxonomy
TopicsCooperative Communication and Network Coding · Peer-to-Peer Network Technologies · Game Theory and Applications