Papers

Deep Learning (DL)

• An Image Is Worth 16x16 Words Transformers for Image Recognition at Scale
• Attention Is All You Need

Federated Learning (FL)

• Adaptive Federated Optimization
• Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
• Communication-Efficient Learning of Deep Networks from Decentralized Data
• FairFed: Enabling Group Fairness in Federated Learning
• FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
• Federated Active Learning (F-AL): An Efficient Annotation Strategy for Federated Learning
• Federated cINN Clustering for Accurate Clustered Federated Learning
• Federated Multi-Task Learning
• Federated Optimization in Heterogeneous Networks
• FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
• HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
• Model-Contrastive Federated Learning
• SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
• The Future of Digital Health with Federated Learning
• Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts

Massive Training Artificial Neural Network (MTANN)

• Massive Training Artificial Neural Network (MTANN) for Reduction of False Positives in Computerized Detection of Lung Nodules in Low-Dose Computed Tomography
• Overview of Deep Learning in Medical Imaging