Publications
Talk · International Conference on Cybersecurity, Digital Forensics, and AI Applications · June 1, 2026
Personalized Federated Learning Systems for Secure and Private Analysis of Patient Medical Records
Adil Akhmetov, Bauyrzhan Berlikozha, Maxat Amreyev, Farikha Nauruzbayeva
Privacy-Preserving Technologies in DataBlockchain Technology Applications and SecurityMachine Learning in Healthcarepersonalized federated learningmedical records privacysecure data analysis
More by Adil Akhmetov
- Evaluating Robustness of AI-Generated Text Detectors Under Simulated Iterative Obfuscation2026
- An Empirical Evaluation of LLM Function Calling in Enterprise Backend Systems: Latency, Reliability, and Development Trade-offsInternational Conference on Electrical, Computer and Energy Technologies · 2026
- Privacy-Preserving Federated Learning for Hydrological Forecasting in the Chu–Talas BasinWater · 2026 · Citations: 2
- A Performance Evaluation of Flask (WSGI) and Fastapi (ASGI) Under High-Concurrency WorkloadsInternational Conference on Electronics, Computer and Computation · 2026 · Citations: 1