2 papers
cs.CV2025
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions
Tue M. Cao, Nhat X. Hoang, Hieu H. Pham +2
Understanding the inner workings of neural networks is essential for enhancing model performance and interpretability. Current research predominantly focuses on examining the conne…
cs.CR2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks
Duong H. Nguyen, Phi L. Nguyen, Truong T. Nguyen +2
Federated Learning (FL) is a machine learning method for training with private data locally stored in distributed machines without gathering them into one place for central learnin…