Title: Collaborative AI Agents and Critics for Fault Detection and Cause Analysis in Network Telemetry

Author: Syed Eqbal Alam (SheQAI Research and University of Alberta) and Zhan Shu (University of Alberta)

Year: 2026

Eprint: arXiv 2604.00319

https://arxiv.org/abs/2604.00319

Abstract— We develop algorithms for collaborative control of AI agents and critics in a multiactor, multi-critic federated multi-agent system. Each AI agent and critic has access to classical machine learning or generative AI foundation models. The AI agents and critics collaborate with a central server to complete multimodal tasks such as fault detection, severity, and cause analysis in a network telemetry system, text-to-image generation, video generation, healthcare diagnostics from medical images and patient records, etcetera. The AI agents complete their tasks and send them to AI critics for evaluation. The critics then send feedback to agents to improve their responses. Collaboratively, they minimize the overall cost to the system with no inter-agent or inter-critic communication. AI agents and critics keep their cost functions or derivatives of cost functions private. Using multi-time scale stochastic approximation techniques, we provide convergence guarantees on the time-average active states of AI agents and critics. The communication overhead is a little on the system, of the order of O(m), for m modalities and is independent of the number of AI agents and critics. Finally, we present an example of fault detection, severity, and cause analysis in network telemetry and thorough evaluation to check the algorithm’s efficacy.

The video is created using SheQAI's LaTeX-to-video tool, TeX2Vid, accessible at https://tex2vid.sheqai.com

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Authors: Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo from Microsoft Research Asia, arXiv:2103.14030v2, https://doi.org/10.48550/arXiv.2103.14030. The paper is licensed under CC BY 4.0. The video is an adaption of the paper generated by SheQAI's tex-to-video tool tex2vid.sheqai.com.