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Efficient Client Contribution Evaluation for Horizontal Federated Learning
In federated learning (FL), fair and accurate measurement of the contribution of each federated participant is of great significance. …
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Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
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Enhancing Neural Architecture Search by Upgrading Weak Components
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Federated Learning with Dynamic Transformer for Text to Speech
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ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform
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Joint Intent Detection and Slot Filling Based on Continual Learning Model
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Modeling Without Sharing Privacy: Federated Neural Machine Translation
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Neural Architecture Search as Self-assessor in Semi-supervised Learning
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Quantum Convolutional Neural Network on Protein Distance Prediction
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Self-supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network
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