Home ›
Entities
› academia
› Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2023) · cited 78× · AI/ML
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
Summary
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces is a scholarly article[1].
Key Facts
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-distribution-similarity-identification-in-clustered-federated-learning-via-principal-angles-between-client-dat
MLA“Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-distribution-similarity-identification-in-clustered-federated-learning-via-principal-angles-between-client-dat.
BibTeX@misc{4ortxyz_efficient-distribution-similarity-identification-in-clustered-federated-learning-via-principal-angles-between-client-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-distribution-similarity-identification-in-clustered-federated-learning-via-principal-angles-between-client-dat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces — https://4ort.xyz/entity/efficient-distribution-similarity-identification-in-clustered-federated-learning-via-principal-angles-between-client-dat (retrieved 2026-05-24)
