Xiaoxi Zhang — accepted AI-conference papers

2026

Sparse Topology-Aware Pairwise Scoring for Large-Scale Multi-Agent Reinforcement Learning

Zhibo Deng, Feng Liang, Yong Zhang, Xiaoxi Zhang, Xiping Hu

ICML 2026poster

In multi-agent reinforcement learning (MARL), communication enables agents to mitigate partial observability and stochasticity through information sharing, but large-scale systems inherently lead to a rapidly growing number of pairwise interactions. Previous studies often struggle to simultaneously …

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2021

Towards Flexible Device Participation in Federated Learning

Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong

AISTATS 2021poster

Traditional federated learning algorithms impose strict requirements on the participation rates of devices, which limit the potential reach of federated learning. This paper extends the current learning paradigm to include devices that may become inactive, compute incomplete updates, and depart or a…

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