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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yijing Lin

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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

A Dual-Level Selective Unlearning Framework for Multi-Agent Decentralized Federated Learning

In agentic AI-enabled edge computing, decentralized federated learning (DFL) leverages peer-to-peer model aggregation to improve the performance of on-device large language models (LLMs) without introducing a single point of failure, thereby enhancing local agents’ capabilities for decision-making. To protect the right...

Zhiqiang Xie, Yijing Lin, Zhipeng Gao et al. · 0 citations

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