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Privacy Preserving

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Showing 1926–1950 of 2975 papers

TitleStatusHype
A Privacy-Preserving Energy Management System for Cooperative Multi-Microgrid Networks—0
A Survey on Participant Selection for Federated Learning in Mobile Networks—0
Private independence testing across two parties—0
Privacy-Preserving Synthetic Educational Data GenerationCode0
Efficient Pruning for Machine Learning Under Homomorphic Encryption—0
On Aggregation Performance in Privacy Conscious Hierarchical Flexibility Coordination Schemes—0
Federated Split GANsCode0
Generating gender-ambiguous voices for privacy-preserving speech recognitionCode0
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks—0
Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity—0
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks—0
BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models—0
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach—0
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning—0
DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring—0
Secure Forward Aggregation for Vertical Federated Neural Networks—0
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation—0
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs—0
Deep Optical Coding Design in Computational Imaging—0
Differentially Private Federated Combinatorial Bandits with Constraints—0
zPROBE: Zero Peek Robustness Checks for Federated Learning—0
FLVoogd: Robust And Privacy Preserving Federated Learning—0
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization—0
Towards End-to-End Private Automatic Speaker Recognition—0
Efficient Adaptive Federated Optimization of Federated Learning for IoT—0
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