Haitham Y. Adarbah

Conference Paper 2025

Toward Design of a Scalable Federated Unlearning Framework for Trustworthy Edge Intelligence

H. Y. Adarbah, K. Sha, A. Noore

Tenth ACM/IEEE Symposium on Edge Computing (SEC), Arlington, VA, USA, pp. 1–6

Open DOI
Type
Conference Paper
Year
2025
Venue
Tenth ACM/IEEE Symposium on Edge Computing (SEC), Arlington, VA, USA
Pages
1–6
DOI
10.1145/3769102.3774631

Overview

Conference Paper published in Tenth ACM/IEEE Symposium on Edge Computing (SEC), Arlington, VA, USA (2025) · 3 authors

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Abstract

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Authors

  1. H. Y. Adarbah Portfolio Author
  2. K. Sha
  3. A. Noore

Keywords

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Citation

IEEE

H. Y. Adarbah, K. Sha, and A. Noore, "Toward Design of a Scalable Federated Unlearning Framework for Trustworthy Edge Intelligence," in Tenth ACM/IEEE Symposium on Edge Computing (SEC), Arlington, VA, USA, 2025, pp. 1–6, doi: 10.1145/3769102.3774631.

BibTeX

@inproceedings{hyadarbah2025toward,
  title = {Toward Design of a Scalable Federated Unlearning Framework for Trustworthy Edge Intelligence},
  author = {H. Y. Adarbah and K. Sha and A. Noore},
  booktitle = {Tenth ACM/IEEE Symposium on Edge Computing (SEC), Arlington, VA, USA},
  pages = {1–6},
  year = {2025},
  doi = {10.1145/3769102.3774631}
}