Home › Entities › academia › Robustness and Personalization in Federated Learning: A Unified Approach via Regularization

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization

Research article (2022 IEEE International Conference on Edge Computing and Communications (EDGE), 2022) · cited 10× · AI/ML
academia openalex:W4292973401
Press Enter · cited answer in seconds

Robustness and Personalization in Federated Learning: An Unified Approach via Regularization

Summary

Robustness and Personalization in Federated Learning: An Unified Approach via Regularization is a scholarly article[1].

Key Facts

  • Robustness and Personalization in Federated Learning: An Unified Approach via Regularization's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. Retrieved May 24, 2026, from https://4ort.xyz/entity/robustness-and-personalization-in-federated-learning-a-unified-approach-via-regularization
MLA “Robustness and Personalization in Federated Learning: A Unified Approach via Regularization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robustness-and-personalization-in-federated-learning-a-unified-approach-via-regularization.
BibTeX @misc{4ortxyz_robustness-and-personalization-in-federated-learning-a-unified-approach-via-regularization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robustness and Personalization in Federated Learning: A Unified Approach via Regularization}}, year = {2026}, url = {https://4ort.xyz/entity/robustness-and-personalization-in-federated-learning-a-unified-approach-via-regularization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robustness and Personalization in Federated Learning: A Unified Approach via Regularization — https://4ort.xyz/entity/robustness-and-personalization-in-federated-learning-a-unified-approach-via-regularization (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/robustness-and-personalization-in-federated-learning-a-unified-approach-via-regularization · Last refreshed: