Trusted Artificial Intelligence in Multi-Agent Systems
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 650
Special Issue Editor
Special Issue Information
Dear Colleagues,
Motivated by the advancing computational capacity of distributed end-user devices, as well as the increasing concerns about sharing private data, there has been considerable recent interest in machine learning (ML) and artificial intelligence (AI) algorithms that can be processed on multiple devices (agents). Specifically, in this paradigm, parts of an ML process are outsourced to multiple agents. Then, the processed information is aggregated on a certain level at a central server, which turns a centralized AI process into a distributed one, bringing about significant benefits. However, this new multi-agent AI paradigm raises new risks of privacy and security issues, because these distributed agents may not only collect personal and sensitive information, e.g., names and telephone numbers, but also monitor daily activities. Therefore, trustworthy AI in multi-agent systems has become an increasingly important and growing research interest worldwide.
This Special Issue calls for papers that explore and analyze potential threats in AI-based multi-agent systems, advanced attack mechanisms, and the possible defence methods against such threats. We hope to provide insights aiding the realization of trustworthy AI multi-agent systems.
Dr. Bo Liu
Guest Editor
Manuscript Submission Information
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Keywords
- trustworthy AI
- multi-agent systems
- distributed machine learning
- federated learning
- privacy
- security
