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Federated Learning Privacy Protection via Training Randomness (2025) · OpenAlex W4416854245

Source: OpenAlex
Original: https://doi.org/10.62762/tscc.2025.779613
License (as archived): CC0-1.0
Archived: 2026-10-08T02:44:40.817Z
SHA-256 of the archived text: dc904471a946dfb6bf58a3e6cabbb17e855d7ad02f50cb8dc2742b54a3eb16fc
Stable URL of this page: https://metraipolis.com/documento/dc_d1dfd4365d63

How to cite

Federated Learning Privacy Protection via Training Randomness (2025) · OpenAlex W4416854245 — OpenAlex, https://doi.org/10.62762/tscc.2025.779613 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_d1dfd4365d63 (Metraipolis archive dc_d1dfd4365d63, sha256 dc904471a946dfb6bf58a3e6cabbb17e855d7ad02f50cb8dc2742b54a3eb16fc)

BibTeX

@misc{dcd1dfd4365d63,
  title = {Federated Learning Privacy Protection via Training Randomness (2025) · OpenAlex W4416854245},
  howpublished = {OpenAlex},
  url = {https://doi.org/10.62762/tscc.2025.779613},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_d1dfd4365d63; sha256 dc904471a946dfb6bf58a3e6cabbb17e855d7ad02f50cb8dc2742b54a3eb16fc},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: OpenAlex, https://doi.org/10.62762/tscc.2025.779613. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Opera scientifica in accesso aperto: scheda dai metadati OpenAlex (article).
Titolo: Federated Learning Privacy Protection via Training Randomness
Autori: Zhiyuan Wang, Ming Tian, Yutao Qiu, Zhixu Zhao, Yong-po Zhang, Kun Liu
Anno: 2025 · Sede: ICCK Transactions on Sensing Communication and Control
DOI: https://doi.org/10.62762/tscc.2025.779613
Accesso aperto: bronze · testo: https://doi.org/10.62762/tscc.2025.779613
Citazioni ricevute (OpenAlex): 4
Temi (OpenAlex): Privacy-Preserving Technologies in Data; Adversarial Robustness in Machine Learning; Cryptography and Data Security

Fonte: https://openalex.org/W4416854245 — metadati OpenAlex (CC0 1.0), consultati il 2026-10-07 via api.openalex.org. Interrogazione: «federated learning privacy».