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04/11/2023
HPN: Personalized Federated Hyperparameter Optimization
Numerous research studies in the field of federated learning (FL) have a...
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07/05/2022
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
Knowledge distillation(KD) is a widely-used technique to train compact m...
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03/07/2022
Differentially Private Federated Learning with Local Regularization and Sparsification
User-level differential privacy (DP) provides certifiable privacy guaran...
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10/16/2021
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Training deep neural networks (DNNs) for meaningful differential privacy...
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11/13/2019
Location-aware Upsampling for Semantic Segmentation
Many successful learning targets such as dice loss and cross-entropy los...
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10/19/2019
