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Communication efficient Learning of Deep Networks from Decentralized Data
Mu Li, Baidu-Scaling Distributed Machine Learning with the Parameter Server
Tianmin Shu: Scaling Model-based Theory of Mind for Socially Intelligent Embodied Partners (2026)
The Need for Technical Boundaries in AI Systems - Xiaoming Liuβ
T19: Trustworthy AI: A Computational Perspective
Ungraded Ep. 10 | Prof Lu Liu | Creativity, AI & Interdisciplinary Learning
Xiyang Liu | China Market & Quantitative Research Support
Xiao Liu: Self-supervised Learning Generative or Contrastive (Outline) #ICBS2026
[rfp1047] Linear-Time Graph Neural Networks for Scalable Recommendations
EUROSYS '25 | HybridFlow: A Flexible and Efficient RLHF Framework
OptiFlow: Towards LLM-Driven Optimization of Collective Communication Algorithms
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Last Updated: August 20, 2026
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![[rfp1047] Linear-Time Graph Neural Networks for Scalable Recommendations](https://i.ytimg.com/vi/JasXvStWaD8/mqdefault.jpg)
