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BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction

Research article (2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2022) · cited 34× · AI/ML
academia openalex:W4286308000
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BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction

Summary

BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction is a scholarly article[1].

Key Facts

  • BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/bfrt-blockchained-federated-learning-for-real-time-traffic-flow-prediction
MLA “BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bfrt-blockchained-federated-learning-for-real-time-traffic-flow-prediction.
BibTeX @misc{4ortxyz_bfrt-blockchained-federated-learning-for-real-time-traffic-flow-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/bfrt-blockchained-federated-learning-for-real-time-traffic-flow-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction — https://4ort.xyz/entity/bfrt-blockchained-federated-learning-for-real-time-traffic-flow-prediction (retrieved 2026-05-24)

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