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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

Chengwei Zhang

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Conference Open access Sep 2026

Guiding Team Objectives with Individual Policies: A Two-Stage Model Aggregation Framework for Partially Cooperative MARL

Two-Stage Model Aggregation (TSMA), a novel multi-policy MA framework for multi-agent reinforcement learning (MARL) that leverages individual policies to enhance team cooperation, is proposed and integrated with MAPPO and MADDPG, demonstrating significant improvements in PCMG.

Wan-Ting Liu, Bao-Xi Wang, Pengyi Li et al. · 0 citations
2026

Empowering Non-IID Federated Learning With Data Augmentation and Data-Free Knowledge Distillation

Federated learning (FL) is an emerging distributed machine learning framework that enables collaborative learning among multiple parties while preserving data privacy. However, the complexity of environments and node heterogeneity in the real world result in uneven data distribution across nodes, leading to Non-IID (No...

Furui Zhan, Ziyu Deng, Yingxin Liu et al. · 0 citations

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