# ATD Learning: A secure, smart, and decentralised learning method for big data environments

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/atd-learning-a-secure-smart-and-decentralised-learning-method-for-big-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Laith Alzubaidi,Sabah Abdulazeez Jebur,Tanya Abdulsattar Jaber,Mohanad A. Mohammed,Haider A. Alwzwazy,Ahmed Saihood,Harshala Gammulle,José Santamaría,Ye Duan,Clinton Fookes,Raja Jurdak,Yuantong Gu |
| Citations | 16 |
| DOI | 10.1016/j.inffus.2025.102953 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.inffus.2025.102953 |
| OpenAlex ID | https://openalex.org/W4406559548 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Sabah Abdulazeez Jebur](https://scholariq.org/researchers/sabah-abdulazeez-jebur/)

## Paper primary topic

- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)

## Paper topics

- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.