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Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression

Research article (IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023) · cited 34× · AI/ML
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Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression

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Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression is a scholarly article[1].

Key Facts

  • Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression'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). Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression. Retrieved May 24, 2026, from https://4ort.xyz/entity/heterogeneity-aware-federated-learning-with-adaptive-client-selection-and-gradient-compression
MLA “Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/heterogeneity-aware-federated-learning-with-adaptive-client-selection-and-gradient-compression.
BibTeX @misc{4ortxyz_heterogeneity-aware-federated-learning-with-adaptive-client-selection-and-gradient-compression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression}}, year = {2026}, url = {https://4ort.xyz/entity/heterogeneity-aware-federated-learning-with-adaptive-client-selection-and-gradient-compression}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression — https://4ort.xyz/entity/heterogeneity-aware-federated-learning-with-adaptive-client-selection-and-gradient-compression (retrieved 2026-05-24)

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