Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training

Author:

Ouyang Xiaomin1ORCID,Xie Zhiyuan1ORCID,Fu Heming1ORCID,Cheng Sitong1ORCID,Pan Li1ORCID,Ling Neiwen1ORCID,Xing Guoliang1ORCID,Zhou Jiayu2ORCID,Huang Jianwei34ORCID

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong, China

2. Michigan State University, East Lansing, United States of America

3. The Chinese University of Hong Kong, Shenzhen, Shen Zhen, China

4. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shen Zhen, China

Funder

Research Grants Council (RGC) of Hong Kong

Alzheimer's Drug Discovery Foundation

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Guangdong Basic and Applied Basic Research Foundation

Shenzhen Key Lab of Crowd Intelligence Empowered Low-Carbon Energy Network

Shenzhen Institute of Artificial Intelligence and Ro- botics for Society

Publisher

ACM

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2. 2022. ALZHEIMER'S DIGITAL BIOMARKERS. https://www.alzdiscovery.org/research-and-grants/funding-opportunities/diagnostics-accelerator-digital-biomarkers-program. 2022. ALZHEIMER'S DIGITAL BIOMARKERS. https://www.alzdiscovery.org/research-and-grants/funding-opportunities/diagnostics-accelerator-digital-biomarkers-program.

3. 2022. Baidu Apollo. https://www.apollo.auto/. 2022. Baidu Apollo. https://www.apollo.auto/.

4. 2022. NVDIA Xavier NX. https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx/. 2022. NVDIA Xavier NX. https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx/.

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