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Privacy Preserving

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Showing 1801–1850 of 2975 papers

TitleStatusHype
Privacy Against Inference Attacks in Vertical Federated Learning—0
Learnable Privacy-Preserving Anonymization for Pedestrian ImagesCode1
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and FusionCode0
Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition—0
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMCode0
Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey—0
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond—0
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale—0
Study of the performance and scalability of federated learning for medical imaging with intermittent clients—0
Finite Time Privacy Preserving Quantized Average Consensus with Transmission Stopping—0
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and PagingCode1
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain—0
Towards Privacy-Preserving Person Re-identification via Person Identify Shift—0
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain—0
Efficient and Privacy Preserving Group Signature for Federated Learning—0
A Privacy-Preserving Energy Management System for Cooperative Multi-Microgrid Networks—0
Encrypted extremum seeking for privacy-preserving PID tuning as-a-Service—0
A Survey on Participant Selection for Federated Learning in Mobile Networks—0
Private independence testing across two parties—0
On Aggregation Performance in Privacy Conscious Hierarchical Flexibility Coordination Schemes—0
Privacy-Preserving Synthetic Educational Data GenerationCode0
Efficient Pruning for Machine Learning Under Homomorphic Encryption—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
BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models—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
DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring—0
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning—0
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach—0
Secure Forward Aggregation for Vertical Federated Neural Networks—0
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs—0
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation—0
Deep Optical Coding Design in Computational Imaging—0
Differentially Private Federated Combinatorial Bandits with Constraints—0
TEVR: Improving Speech Recognition by Token Entropy Variance ReductionCode2
FLVoogd: Robust And Privacy Preserving Federated Learning—0
zPROBE: Zero Peek Robustness Checks for Federated Learning—0
Efficient Adaptive Federated Optimization of Federated Learning for IoT—0
Towards End-to-End Private Automatic Speaker Recognition—0
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization—0
sqSGD: Locally Private and Communication Efficient Federated Learning—0
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning—0
SoteriaFL: A Unified Framework for Private Federated Learning with Communication CompressionCode0
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data SynthesisCode0
Secure Embedding Aggregation for Federated Representation Learning—0
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated LearningCode1
CLEAR: A Fully User-side Image Search SystemCode2
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