Fenglong Ma

China

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Articles

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text

Feb 2, 2024 | arxiv.org | Zhi Xu |Xiaotong Zhang |Feng Zhang |Fenglong Ma
Figure 3. A diagram of the screening process.

Aug 9, 2023 | researchgate.net | Liwei Che |Jiaqi Wang |Yao Zhou |Fenglong Ma

Source publicationFederated 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.
Figure 1. Illustration of traditional unimodal FL v.s. multimodal FL.

Aug 9, 2023 | researchgate.net | Liwei Che |Jiaqi Wang |Yao Zhou |Fenglong Ma

Source publicationFederated 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...
Figure 5. Illustration of multimodal federated transfer learning and...

Aug 9, 2023 | researchgate.net | Liwei Che |Jiaqi Wang |Yao Zhou |Fenglong Ma

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Multimodal Federated Learning: A Survey

Aug 6, 2023 | mdpi.com | Jiaqi Wang |Yao Zhou |Fenglong Ma |Liwei Che

Abstract: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-identical distribution (non-IID) caused by a data distribution imbalance related to data labels and data amount.
Multimodal Federated Learning: A Survey

Aug 6, 2023 | researchgate.net | Liwei Che |Jiaqi Wang |Yao Zhou |Fenglong Ma

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-identical distribution (non-IID) caused by a data distribution imbalance related to data labels and data amount.
Fenglong Ma's research works

Jul 25, 2023 | researchgate.net | Jiaqi Wang |Yao Zhou |Fenglong Ma

What is this page? This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile. It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible.
The illustration of Multimodal Federated Transfer Learning and Hybrid...

Jul 25, 2023 | researchgate.net | Jiaqi Wang |Yao Zhou |Fenglong Ma

Source publicationFederated learning (FL) has become a burgeoning and attractive research area, which provides a collaborative training scheme for distributed data sources with privacy concerns. Most existing FL studies focus on taking unimodal data, such as images and text, as the model input and resolving the heterogeneity challenge, i.e., the non-identically dist... Context 1...
Yao Zhou's research works

Jul 25, 2023 | researchgate.net | Jiaqi Wang |Yao Zhou |Fenglong Ma

What is this page? This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile. It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible.
Figure 1. Illustration of traditional unimodal FL v.s. multimodal FL.

Jul 25, 2023 | researchgate.net | Jiaqi Wang |Yao Zhou |Fenglong Ma

Source publicationFederated learning (FL) has become a burgeoning and attractive research area, which provides a collaborative training scheme for distributed data sources with privacy concerns. Most existing FL studies focus on taking unimodal data, such as images and text, as the model input and resolving the heterogeneity challenge, i.e., the non-identically dist... Context 1...