Adversarial attack detection in resource-constrained environments: a stable and sequential federated learning architecture with TinyLlama-1.1B
Research paper by Sevim Ceylan Böcekçi and collaborators, published 2026 in Cluster Computing. Research area: Privacy-Preserving Technologies in Data.
Resource information
- Authors
- Sevim Ceylan Böcekçi, Kazım Yıldız
- Research area
- Privacy-Preserving Technologies in Data
- Application domain
- General AI research
- AI methods
- Large language models
- Research topics
- Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning
- Publication date
- 2026-10-01
- Publication
- Cluster Computing
- DOI
- 10.1007/s10586-026-06630-8
- Citations
- 0
- Last record update
- Nov 4, 2026