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WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification
Research article (Wireless Communications and Mobile Computing, 2021) · cited 14× · AI/ML
WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification
Summary
WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification is a scholarly article[1].
Key Facts
WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/wcl-client-selection-in-federated-learning-with-a-combination-of-model-weight-divergence-and-client-training-loss-for-in
MLA“WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wcl-client-selection-in-federated-learning-with-a-combination-of-model-weight-divergence-and-client-training-loss-for-in.
BibTeX@misc{4ortxyz_wcl-client-selection-in-federated-learning-with-a-combination-of-model-weight-divergence-and-client-training-loss-for-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification}}, year = {2026}, url = {https://4ort.xyz/entity/wcl-client-selection-in-federated-learning-with-a-combination-of-model-weight-divergence-and-client-training-loss-for-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification — https://4ort.xyz/entity/wcl-client-selection-in-federated-learning-with-a-combination-of-model-weight-divergence-and-client-training-loss-for-in (retrieved 2026-05-24)
