Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Computer Science

• Semisupervised Learning 100%
• Unlabeled Data 40%
• Data Distribution 40%
• Learning Framework 20%
• Training Model 20%
• Heterogeneous Data 20%
• Challenging Scenario 20%
• Federated Learning 20%
• Bilevel Optimisation 20%
• Small Fraction 20%
• Learning Effect 20%
• Class Distribution 20%