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Privacy Preserving

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Showing 1751–1800 of 2975 papers

TitleStatusHype
Elastic Aggregation for Federated Optimization—0
Encrypted Data-driven Predictive Cloud Control with Disturbance Observer—0
Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera PosesCode0
Assessment of creditworthiness models privacy-preserving training with synthetic data—0
PRISM: Privacy Preserving Healthcare Internet of Things Security Management—0
Secure and Privacy Preserving Proxy Biometrics Identities—0
Privacy-Preserving Domain Adaptation of Semantic Parsers—0
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification—0
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework—0
Planting and Mitigating Memorized Content in Predictive-Text Language ModelsCode0
Mobile Augmented Reality with Federated Learning in the Metaverse—0
Privacy-Preserving Collaborative Learning through Feature Extraction—0
Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge ComputingCode0
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning—0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration—0
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning—0
HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation—0
On-device Training: A First Overview on Existing Systems—0
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk ControlCode0
Differentially Private Learning with Per-Sample Adaptive Clipping—0
PiPar: Pipeline Parallelism for Collaborative Machine Learning—0
Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems—0
Privacy-Preserving Federated Deep Clustering based on GAN—0
A Privacy-Preserving Outsourced Data Model in Cloud Environment—0
Collaborative Training of Medical Artificial Intelligence Models with non-uniform LabelsCode0
Vertical Federated Learning: Concepts, Advances and Challenges—0
Private Multi-Winner Voting for Machine Learning—0
Private Ad Modeling with DP-SGD—0
Federated deep transfer learning for EEG decoding using multiple BCI tasks—0
Scalable Collaborative Learning via Representation Sharing—0
Personalized Federated Learning with Hidden Information on Personalized Prior—0
A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors—0
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning—0
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE—0
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality—0
Adaptive Federated Minimax Optimization with Lower Complexities—0
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing—0
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning—0
Towards Privacy-Aware Causal Structure Learning in Federated SettingCode0
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation—0
Quantum Split Neural Network Learning using Cross-Channel Pooling—0
Modular Clinical Decision Support Networks (MoDN) -- Updatable, Interpretable, and Portable Predictions for Evolving Clinical EnvironmentsCode0
Privacy-Preserving Credit Card Fraud Detection using Homomorphic EncryptionCode0
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings—0
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search—0
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design—0
Privacy Meets Explainability: A Comprehensive Impact Benchmark—0
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial MetaverseCode0
Privacy-Preserving Anomaly Detection in Stochastic Dynamical Systems: Synthesis of Optimal Gaussian Mechanisms—0
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