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06/26/2023
Federated Learning on Non-iid Data via Local and Global Distillation
Most existing federated learning algorithms are based on the vanilla Fed...
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06/13/2023
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios
Federated learning (FL) naturally faces the problem of data heterogeneit...
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12/17/2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Deep Neural Networks (DNNs) have achieved remarkable progress in various...
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11/06/2020
ASFGNN: Automated Separated-Federated Graph Neural Network
Graph Neural Networks (GNNs) have achieved remarkable performance by tak...
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05/25/2020
Privacy-Preserving Graph Neural Network for Node Classification
Recently, Graph Neural Network (GNN) has achieved remarkable progresses ...
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02/06/2020