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Xuan-Yi Hao

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Unlocking the Potential of Asynchronous Federated Learning in Non-IID Edge Environments

Asynchronous Federated Learning (AFL) enhances the efficiency of edge collaborative learning systems by asynchronously aggregating client updates to prevent slowdowns from slow clients. However, in non-IID scenarios, such operations magnify uneven learning among various local data, degrading global model generalization...

Xiaoyi Pang, Yajie Zhou, Zhibo Wang et al. · 0 citations
Jul 2026

Attention-Free and Lightweight Token Reduction for Efficient Vision-Language Models

An attention-free and lightweight token reduction framework as a plug-and-play module for VLMs, which preserves both important and diverse tokens to produce a compact visual representation, and achieves a favorable accuracy-efficiency trade-off.

Xuanyi Hao, Zuoyuan Zhang, Zhibo Wang et al. · 0 citations

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