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FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV

Research article (IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022) · cited 17× · AI/ML
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FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV

Summary

FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV is a scholarly article[1].

Key Facts

  • FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV. Retrieved May 24, 2026, from https://4ort.xyz/entity/fedtse-low-cost-federated-learning-for-privacy-preserved-traffic-state-estimation-in-iov
MLA “FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fedtse-low-cost-federated-learning-for-privacy-preserved-traffic-state-estimation-in-iov.
BibTeX @misc{4ortxyz_fedtse-low-cost-federated-learning-for-privacy-preserved-traffic-state-estimation-in-iov_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV}}, year = {2026}, url = {https://4ort.xyz/entity/fedtse-low-cost-federated-learning-for-privacy-preserved-traffic-state-estimation-in-iov}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FedTSE: Low-Cost Federated Learning for Privacy-Preserved Traffic State Estimation in IoV — https://4ort.xyz/entity/fedtse-low-cost-federated-learning-for-privacy-preserved-traffic-state-estimation-in-iov (retrieved 2026-05-24)

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