Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Yang Yang

h-index 8 View on Semantic Scholar

We have 4 of 50 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

2026

Dynamic Weighting and Adaptive Sparse Transformer for Federated Fault Diagnosis

With the rapid development of the Internet of Things (IoT) and edge computing, the scale and complexity of modern networks have increased significantly, driving the demand for distributed fault diagnosis. Federated learning (FL) effectively addresses the issues of data privacy and dispersion by enabling edge devices to...

Jing-Ting Mei, Yang Yang, Celimuge Wu et al. · 0 citations
2026

LogPISA: An Improved Pre-Training and Tuning Pipeline for Log Understanding With Invariant and Semantic-Aware Objectives

With the rapid development of computer and network technology, network and software logs generated by a multitude of devices contain a wealth of knowledge and serve as a critical resource for intelligent fault diagnosis and efficient system operations. In recent years, various deep learning methods and the pre-training...

Lanlan Rui, Yuan-Rui Yang, Peng Yu et al. · 0 citations
2026

Hyperbolic Spatio-Temporal Graph Learning With Agent Reasoning for Root Cause Localization in Cloud-Edge Microservices

Root cause localization is critical for ensuring service reliability in cloud-edge collaborative microservice systems. In practical scenarios, multiple microservice systems are often hybrid-deployed on shared infrastructure, which poses three challenges for existing methods. First, concurrent systems generate substanti...

Yechen He, Yang Yang, Lanlan Rui et al. · 0 citations
Conference Jul 2026

Fairness-Aware Dynamic Pricing and Service Routing for Cloud-Edge Systems via Heterogeneous Multi-Agent Learning

Cloud service platforms are increasingly extended to cloud-edge continua to support latency-sensitive and computation-intensive applications. In such distributed service environments, heterogeneous and time-varying compute capacity across edge sites creates strong competition among users, making it difficult to jointly...

Yun Xia, Gang Zhou, Lirui Pan et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.