Peer Agent

Peer agents represent a burgeoning field exploring the interaction and collaboration between artificial agents, encompassing diverse applications from federated learning to educational settings. Current research focuses on improving the robustness and privacy of peer-to-peer systems, developing effective algorithms for peer evaluation and consensus-building (e.g., using LLMs for peer review or automated model evaluation), and designing methods for efficient resource utilization in distributed training environments. This research is significant for advancing both theoretical understanding of multi-agent systems and practical applications in areas such as machine learning, education, and robotics, addressing challenges related to data privacy, efficiency, and the reliability of automated systems.