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Fenglong Ma

China
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Articles

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection

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By Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text

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By Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma
| arXiv
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Figure 3. A diagram of the screening process.

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By Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma
Source publication Federated learning (FL), which provides a collaborative training scheme for distributed data sources with privacy concerns, has become a burgeoning and attractive research area. Most existing FL studies focus on taking unimodal data, such as image and text, as the model input and resolving the heterogeneity challenge, i.e., the challenge of non-ide... Context 1 ... shown in Figure 3, the literature search and selection process was conducted via two stages.
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