Springer Nature OA
open access
CC BY-NC-ND 4.0
Federated MapReduce fractional deep learning for scalable and privacy-aware intrusion detection in cloud computing
computer-sciencedata-mining-and-knowledge-discoverynatural-language-processing-nlppattern-recognition
Not applicable.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Research trends in deep learning and machine learning for cloud computing security#339532
- Enhancing Multi-Cloud Security with Quantum-Resilient AI for Anomaly Detection#92412
- A Resilient Genetic-centric Aggregation for Hierarchical Federated Learning against Scaling Attacks#280393
- Trustful AI through fair and privacy-preserving federated machine learning#391862
- FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in Federated Learning#1061591
Record · ID 990026
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive