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Fed-DR-Filter: Using global data representation to reduce the impact of noisy labels on the performance of federated learning

Shaoming Duan, Chuanyi Liu, Zhengsheng Cao, Xiaopeng Jin, Peiyi Han

2022Future Generation Computer Systems22 citationsDOI

Topics & Concepts

Computer scienceFilter (signal processing)Noise (video)Data miningSelection (genetic algorithm)Representation (politics)Machine learningArtificial intelligenceImage (mathematics)PoliticsPolitical scienceLawComputer visionPrivacy-Preserving Technologies in DataMachine Learning and Data ClassificationAdvanced Neural Network Applications
Fed-DR-Filter: Using global data representation to reduce the impact of noisy labels on the performance of federated learning | Litcius