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Privacy Preserving

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Showing 1701–1725 of 2975 papers

TitleStatusHype
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes—0
Designing Fairness in Autonomous Peer-to-peer Energy Trading—0
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)—0
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety—0
Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model—0
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
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingCode0
GTV: Generating Tabular Data via Vertical Federated Learning—0
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 Distributed Bayesian Linear Regression with MCMCCode0
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data DistillationCode0
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation—0
Efficient Node Selection in Private Personalized Decentralized LearningCode0
Decentralized Entropic Optimal Transport for Distributed Distribution Comparison—0
Context-Aware Differential Privacy for Language Modeling—0
FedPH: Privacy-enhanced Heterogeneous Federated LearningCode0
Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning—0
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference—0
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning—0
Accelerating Fair Federated Learning: Adaptive Federated Adam—0
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