Harnessing the power of pre-training on large-scale datasets like ImageN...
Recent advances in generative AI have brought incredible breakthroughs i...
Federated learning is a popular collaborative learning approach that ena...
Despite Federated Learning (FL)'s trend for learning machine learning mo...
Artificial Intelligence (AI) is having a tremendous impact across most a...
Federated learning (FL) enables the building of robust and generalizable...
Split learning (SL) has been proposed to train deep learning models in a...
Cross-silo federated learning (FL) has attracted much attention in medic...
Federated learning (FL) is a distributed machine learning technique that...
Recently, neural architecture search (NAS) has been applied to automatic...
Deep Learning (DL) models are becoming larger, because the increase in m...
Non-signalized intersection is a typical and common scenario for connect...
The cycleGAN is becoming an influential method in medical image synthesi...
High resolution magnetic resonance (MR) imaging (MRI) is desirable in ma...