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Privacy Preserving

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Showing 476–500 of 2975 papers

TitleStatusHype
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic ForecastingCode2
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoTCode0
Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure—0
End to End Collaborative Synthetic Data Generation—0
MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation—0
Towards the efficacy of federated prediction for epidemics on networksCode0
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices—0
Wasserstein Markets for Differentially-Private DataCode0
Private Linear Regression with Differential Privacy and PAC Privacy—0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation—0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
FedAH: Aggregated Head for Personalized Federated LearningCode0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks—0
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture—0
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation—0
Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification—0
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning—0
PRSI: Privacy-Preserving Recommendation Model Based on Vector Splitting and Interactive Protocols—0
Inference Privacy: Properties and Mechanisms—0
KAN See Your Face—0
Synthetic Data Generation with LLM for Improved Depression Prediction—0
Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks—0
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