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DSFL: Dynamic Sparsification for Federated Learning

Research article (2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2022) · cited 10× · AI/ML
academia openalex:W4320011078
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DSFL: Dynamic Sparsification for Federated Learning

Summary

DSFL: Dynamic Sparsification for Federated Learning is a scholarly article[1].

Key Facts

  • DSFL: Dynamic Sparsification for Federated Learning's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). DSFL: Dynamic Sparsification for Federated Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/dsfl-dynamic-sparsification-for-federated-learning
MLA “DSFL: Dynamic Sparsification for Federated Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dsfl-dynamic-sparsification-for-federated-learning.
BibTeX @misc{4ortxyz_dsfl-dynamic-sparsification-for-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DSFL: Dynamic Sparsification for Federated Learning}}, year = {2026}, url = {https://4ort.xyz/entity/dsfl-dynamic-sparsification-for-federated-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DSFL: Dynamic Sparsification for Federated Learning — https://4ort.xyz/entity/dsfl-dynamic-sparsification-for-federated-learning (retrieved 2026-05-24)

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