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S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing
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| Published in: | IEEE Open Journal of the Computer Society |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868554021108711424 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IEEE Open Journal of the Computer Society |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:94007 |
| institution | FRELIP |
| journal_source_facet | IEEE Open Journal of the Computer Society |
| last_indexed | 2026-06-20T21:45:54.952Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing |
| title_alt | S2D-FL: Aprendizaje Federado Guiado por Dispersión y Consciente de la Confianza para Robustez y Privacidad Conjuntas en Computación de Borde IoT S2D-FL : apprentissage fédéré guidé par la parcimonie et conscient de la confiance pour la robustesse et la confidentialité conjointes dans l'informatique de périphérie IoT S2D-FL: Aprendizado Federado Guiado por Esparsidade e Consciente de Confiança para Robustez e Privacidade Conjuntas em Computação de Borda IoT |
| title_auth | S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing |
| title_es_txt | S2D-FL: Aprendizaje Federado Guiado por Dispersión y Consciente de la Confianza para Robustez y Privacidad Conjuntas en Computación de Borde IoT |
| title_fr_txt | S2D-FL : apprentissage fédéré guidé par la parcimonie et conscient de la confiance pour la robustesse et la confidentialité conjointes dans l'informatique de périphérie IoT |
| title_full | S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing |
| title_fullStr | S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing |
| title_full_unstemmed | S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing |
| title_pt_txt | S2D-FL: Aprendizado Federado Guiado por Esparsidade e Consciente de Confiança para Robustez e Privacidade Conjuntas em Computação de Borda IoT |
| title_short | S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing |
| title_sort | s2d-fl: sparsity-guided and trust-aware federated learning for joint robustness and privacy in iot edge computing |
| topic | Computer Science General Computer Science |
| url | http://ieeexplore.ieee.org/document/11503398 |