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FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering

Research article (Proceedings of the 53rd International Conference on Parallel Processing, 2024) · cited 12× · AI/ML
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FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering

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FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering is a scholarly article[1].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/fedclust-tackling-data-heterogeneity-in-federated-learning-through-weight-driven-client-clustering
MLA “FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fedclust-tackling-data-heterogeneity-in-federated-learning-through-weight-driven-client-clustering.
BibTeX @misc{4ortxyz_fedclust-tackling-data-heterogeneity-in-federated-learning-through-weight-driven-client-clustering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering}}, year = {2026}, url = {https://4ort.xyz/entity/fedclust-tackling-data-heterogeneity-in-federated-learning-through-weight-driven-client-clustering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering — https://4ort.xyz/entity/fedclust-tackling-data-heterogeneity-in-federated-learning-through-weight-driven-client-clustering (retrieved 2026-05-24)

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