Entropy-based deep neural network training optimization for optical coherence tomography imaging
K Karthik, M Mahadevappa - Applied Artificial Intelligence, 2024 - Taylor & Francis
This paper presents an optimization technique for the number of training epochs needed for
deep learning models. The proposed method eliminates the need for separate validation …
deep learning models. The proposed method eliminates the need for separate validation …
Adaptive Federated Learning via New Entropy Approach
S Zheng, W Yuan, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Federated Learning (FL) has emerged as a prominent distributed machine learning
framework that enables geographically discrete clients to train a global model …
framework that enables geographically discrete clients to train a global model …