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.
APA4ort.xyz Knowledge Graph. (2026). FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/feel-federated-end-to-end-learning-with-non-iid-data-for-vehicular-ad-hoc-networks
MLA“FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feel-federated-end-to-end-learning-with-non-iid-data-for-vehicular-ad-hoc-networks.
BibTeX@misc{4ortxyz_feel-federated-end-to-end-learning-with-non-iid-data-for-vehicular-ad-hoc-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks}}, year = {2026}, url = {https://4ort.xyz/entity/feel-federated-end-to-end-learning-with-non-iid-data-for-vehicular-ad-hoc-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks — https://4ort.xyz/entity/feel-federated-end-to-end-learning-with-non-iid-data-for-vehicular-ad-hoc-networks (retrieved 2026-05-24)
