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enabling cross-platform federated learning

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FedKit: Enabling Cross-Platform Federated Learning for Android and iOS

He, Sichang, Tang, Beilong, Zhang, Boyan, Shao, Jiaoqi, Ouyang, Xiaomin, Nugraha, Daniel Nata, Luo, Bing

arXiv.org Artificial IntelligenceFeb-16-2024

We present FedKit, a federated learning (FL) system tailored for cross-platform FL research on Android and iOS devices. FedKit pipelines cross-platform FL development by enabling model conversion, hardware-accelerated training, and cross-platform model aggregation. Our FL workflow supports flexible machine learning operations (MLOps) in production, facilitating continuous model delivery and training. We have deployed FedKit in a real-world use case for health data analysis on university campuses, demonstrating its effectiveness. FedKit is open-source at https://github.com/FedCampus/FedKit.

artificial intelligence, enabling cross-platform federated learning, machine learning, (13 more...)

arXiv.org Artificial Intelligence

2402.10464

Country:

North America > United States > California > Los Angeles County > Los Angeles (0.15)
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Research Report (0.40)
Instructional Material (0.35)

Industry: Information Technology (0.48)

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Information Technology > Communications > Mobile (1.00)
Information Technology > Artificial Intelligence > Machine Learning (1.00)

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