Jiaoyang Li - Jiaoyang Li
Ferdinando Fioretto
Jiaoyang Li - Jiaoyang Li
privacy preserving ai (6) privacy preserving artificial intelligence (5) aamas (4) optlearnmas (3) optlearnmas23 (1) optlearnmas2023 (1) optlearnmas 23 (1) optlearnmas 2023 (1) aamas23 (1) aamas 2023 (1)
at AAMAS 2023 at London, United Kingdom
Stimulated by various emerging applications involving agents to solve complex problems in real-world domains, such as intelligent sensing systems for the Internet of the Things (IoT), automated configurators for critical infrastructure networks, and intelligent resource allocation for social domains (e.g., security games for the deployment of security resources or auctions/procurements for allocating goods and services), agents in these domains commonly leverage different forms optimization and/or learning
This workshop invites works from different strands of the multi-agent systems community that pertain to the design of algorithms, models, and techniques to deal with multi-agent optimization and learning problems or problems that can be effectively solved by adopting a multi-agent framework.
Jiaoyang Li - Jiaoyang Li
Ferdinando Fioretto
Jiaoyang Li - Jiaoyang Li