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Privacy Preserving

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Showing 1351–1375 of 2975 papers

TitleStatusHype
A Survey on Blockchain-Based Federated Learning and Data Privacy—0
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization—0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID DataCode0
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks—0
On the Usefulness of Synthetic Tabular Data Generation—0
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions—0
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression—0
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing—0
Video object detection for privacy-preserving patient monitoring in intensive careCode0
FedSampling: A Better Sampling Strategy for Federated Learning—0
Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices—0
Private Networked Federated Learning for Nonsmooth Objectives—0
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central UpdatesCode0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition—0
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels—0
Data-Heterogeneous Hierarchical Federated Learning with Mobility—0
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation—0
Training generative models from privatized data—0
Differentially Private Wireless Federated Learning Using Orthogonal Sequences—0
MMASD: A Multimodal Dataset for Autism Intervention AnalysisCode1
PLAN: Variance-Aware Private Mean EstimationCode0
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy—0
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP TrainingCode0
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings—0
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