Fair Federated Learning with Biased Vision-Language Models

Keyphrases

• Federated Learning 100%
• Vision-language Models 100%
• Visual Prompting 100%
• Federated Learning System 57%
• Data Heterogeneity 28%
• Fairness-aware 28%
• Model Fairness 28%
• Parameter Tuning 14%
• Model-driven Development 14%
• Training Model 14%
• Knowledge Constraint 14%
• Ethical Implications 14%
• Learning Model 14%
• Human Face 14%
• Adaptive Framework 14%
• Application Model 14%
• Tuning Methods 14%
• Adapter 14%
• Client Knowledge 14%
• Debiasing 14%
• Fairness Constraints 14%
• LoRa 14%
• Training Convergence 14%
• Face Attribute Recognition 14%
• Group Fairness 14%

Computer Science

• Language Modeling 100%
• Federated Learning 100%
• Data Heterogeneity 20%
• Learning Framework 20%
• Application Model 10%
• Model Development 10%
• Critical Question 10%
• Fairness Constraint 10%
• Ethical Implication 10%
• Unfairness 10%