AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X

Research article (Security and Communication Networks, 2022) · cited 35× · AI/ML
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AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X

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AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X. Retrieved May 24, 2026, from https://4ort.xyz/entity/aflpc-an-asynchronous-federated-learning-privacy-preserving-computing-model-applied-to-5g-v2x
MLA “AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/aflpc-an-asynchronous-federated-learning-privacy-preserving-computing-model-applied-to-5g-v2x.
BibTeX @misc{4ortxyz_aflpc-an-asynchronous-federated-learning-privacy-preserving-computing-model-applied-to-5g-v2x_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X}}, year = {2026}, url = {https://4ort.xyz/entity/aflpc-an-asynchronous-federated-learning-privacy-preserving-computing-model-applied-to-5g-v2x}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X — https://4ort.xyz/entity/aflpc-an-asynchronous-federated-learning-privacy-preserving-computing-model-applied-to-5g-v2x (retrieved 2026-05-24)

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