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Privacy Preserving

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Showing 1551–1575 of 2975 papers

TitleStatusHype
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health RecordsCode0
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks—0
Semi-decentralized Federated Ego Graph Learning for Recommendation—0
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning—0
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence—0
Designing Fairness in Autonomous Peer-to-peer Energy Trading—0
Offsite-Tuning: Transfer Learning without Full ModelCode2
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes—0
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety—0
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)—0
Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model—0
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning—0
Federated Survival ForestsCode0
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction—0
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference—0
GTV: Generating Tabular Data via Vertical Federated Learning—0
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingCode0
Federated Analytics: A survey—0
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss ApproximationsCode0
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds—0
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data DistillationCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation—0
Efficient Node Selection in Private Personalized Decentralized LearningCode0
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