FDRMFL: Multi-modal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning
Analysis
The article introduces a research paper on a multi-modal federated learning model. The model, named FDRMFL, focuses on feature extraction using information maximization and contrastive learning techniques. The source is ArXiv, indicating a pre-print or research paper.
Key Takeaways
Reference / Citation
View Original"FDRMFL:Multi-modal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning"