Federated Learning

A Quantitative Metric for Privacy Leakage in Federated Learning
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Anomaly Removal for Vehicle Energy Consumption in Federated Learning
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Diversified Point Cloud Classification Using Personalized Federated Learning
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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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Modeling Without Sharing Privacy: Federated Neural Machine Translation
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Empirical Studies of Institutional Federated Learning For Natural Language Processing
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FedSmart: An Auto Updating Federated Learning Optimization Mechanism
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Network Coding for Federated Learning Systems
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Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices
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Federated Learning of Unsegmented Chinese Text Recognition Model
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