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Xiangmou Qu

2 accepted papers

2025

FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning

AAAI 2025technical

Prototype-based federated learning has emerged as a promising approach that shares lightweight prototypes to transfer knowledge among clients with data heterogeneity in a model-agnostic manner. However, existing methods often collect prototypes directly from local models, which inevitably introduce…

Cited by 0SourcePDFScholar
2025

MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation

NeurIPS 2025poster

Recent advances in Multimodal Large Language Models (MLLMs) have enabled the development of mobile agents that can understand visual inputs and follow user instructions, unlocking new possibilities for automating complex tasks on mobile devices. However, applying these models to real-world mobile sc…

Cited by 0SourcecodeScholar