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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Starstruck

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yh-yao/README.md

Hi there 👋 I am Yuhang Yao

  • 🔭 I’m currently working on federated graph learning and super agent system.
  • 💬 My homepage is https://www.yuhangyao.com.
  • 📫 If you have any question on my research or project, e-mail me at [email protected].

Look at my recent works

Check my PhD thesis
Efficient Federated Graph Learning: Formulation, Algorithms and Applications

Building the Super Agent System

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  1. FedGCN FedGCN Public

    Official Code for FedGCN [NeurIPS 2023]

    Jupyter Notebook 69 15

  2. FedRule FedRule Public

    Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks

    Python 13 3

  3. FedGraph/fedgraph FedGraph/fedgraph Public

    FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.

    Python 57 5

  4. awesome-rl-ai-agents awesome-rl-ai-agents Public

    A curated list of recent progress and resources on Reinforcement Learning for AI Agents.

    5 1

  5. awesome-edge-ai-agents awesome-edge-ai-agents Public

    Curated list of papers, frameworks, benchmarks, and applications for multimodal AI agents (LLMs, text-to-image, speech, world models, etc.) on mobile and edge devices.

    1

  6. awesome-federated-large-language-models awesome-federated-large-language-models Public

    A curated list of resources on Federated Large Language Models (FedLLMs) – an emerging paradigm that trains or adapts large language models (LLMs) across distributed data sources while preserving p…

    1