An in-depth evaluation of federated learning on biomedical natural language processing for information extraction

Computer Science

• Natural Language Processing 100%
• Information Extraction 100%
• Federated machine learning 100%
• Language Modeling 50%
• Data Access 16%
• Data Privacy 16%
• Individual Client 16%
• Health Insurance Portability and Accountability Act 16%
• Bidirectional Encoder Representations From Transformers 16%
• Processing Task 16%
• Large Language Model 16%
• General Data Protection Regulation 16%
• Collaborative Learning 16%

Social Sciences

• Natural Language Processing 100%
• Federated machine learning 100%
• Language Modeling 50%
• Social Security 16%
• Right to Privacy 16%
• Data Access 16%
• Data Protection 16%
• Bidirectional Encoder Representations From Transformers 16%
• Large Language Model 16%
• Collaborative Learning 16%
• Alanine Aminotransferase 16%
• General Data Protection Regulation 16%

Keyphrases

• Few-shot Prompting 33%
• Pre-trained LLM 33%