2 papers
cs.CV2026
When is 3D Worth It? A Resource-Performance Frontier for CNNs and Transformers in Lung CT
Md Enamul Hoq, Sharafat Hossain, Imraul Emmaka +4
Three-dimensional models are widely assumed preferable for volumetric medical imaging, yet their practical value depends on whether performance gains justify added computational co…
cs.CR2025
One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT
Imraul Emmaka, Tran Viet Xuan Phuong
Federated Learning (FL) offers a promising approach to collaboratively train machine learning models without centralizing raw data, yet its scalability is often throttled by excess…