model performance
Dynamic Personalized Federated Learning with Adaptive Differential Privacy Xiyuan Y ang 1 Wenke Huang 1 Mang Y e
Despite its pilot progress, personalized federated learning with differential privacy still faces numerous challenges.
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- North America > United States > Virginia (0.05)
- Asia > China > Hubei Province > Wuhan (0.04)
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- Information Technology > Data Science > Data Mining (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.69)
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- Europe > Switzerland > Zürich > Zürich (0.14)
- Europe > Austria > Vienna (0.14)
- North America > United States > Virginia (0.04)
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Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Optimal Transport distance to predict the model's performance for any data mixture
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- Europe > Switzerland > Zürich > Zürich (0.14)
- Europe > Austria > Vienna (0.14)
- North America > United States > Virginia (0.04)
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FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Y ang
Federated learning (FL) typically faces data heterogeneity, i.e., distribution shifting among clients. Sharing clients' information has shown great potentiality in mitigating data heterogeneity, yet incurs a dilemma in preserving privacy and promoting
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- Asia > China > Hong Kong (0.04)
- North America > United States > Virginia (0.04)
- North America > United States > California > Orange County > Anaheim (0.04)
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- Information Technology > Security & Privacy (1.00)
- Health & Medicine (1.00)
- Education (0.67)
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A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang
As a result, a naïve ERM learning process will be biased towards the majority classes, making it difficult to generalize to the minority classes.
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- North America > Canada > Ontario > Toronto (0.04)
- Europe > Italy (0.04)
- Asia > China > Guangdong Province > Shenzhen (0.04)
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Country:
- North America > Canada > Ontario > Toronto (0.04)
- Europe > Italy (0.04)
- Asia > China > Guangdong Province > Shenzhen (0.04)
Technology:
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- North America > United States > New York > New York County > New York City (0.04)
- North America > United States > Florida > Hillsborough County > University (0.04)
- North America > United States > Arizona (0.04)
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- Information Technology (0.46)
- Materials (0.46)
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