Shuang Qiu

Central Server Free Federated Learning over Single-sided Trust Social Networks

2019 · arXiv (Cornell University)

Federated learning has become increasingly important for modern machine learning, especially for data privacy-sensitive scenarios. Existing federated learning mostly adopts the central server-based architecture or centralized architecture. However, in many social network scenarios, centralized federated …

Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective

2025

World models have recently attracted growing interest in Multi-Agent Reinforcement Learning (MARL) due to their ability to improve sample efficiency for policy learning. However, accurately modeling environments in MARL is challenging due to the exponentially …