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Privacy Preserving

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Showing 701–750 of 2975 papers

TitleStatusHype
Towards privacy-preserving cooperative control via encrypted distributed optimization—0
Nemesis: Noise-randomized Encryption with Modular Efficiency and Secure Integration in Machine Learning Systems—0
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service—0
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning—0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
UA-PDFL: A Personalized Approach for Decentralized Federated Learning—0
How Private are Language Models in Abstractive Summarization?—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes—0
Learning Robust and Privacy-Preserving Representations via Information TheoryCode0
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference—0
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression—0
(ε, δ)-Differentially Private Partial Least Squares Regression—0
Federated In-Context LLM Agent Learning—0
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning—0
Cluster-Enhanced Federated Graph Neural Network for Recommendation—0
dsLassoCov: a federated machine learning approach incorporating covariate control—0
Local Features Meet Stochastic Anonymization: Revolutionizing Privacy-Preserving Face Recognition for Black-Box Models—0
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions—0
A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy—0
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications—0
Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions—0
FedRBE -- a decentralized privacy-preserving federated batch effect correction tool for omics data based on limma—0
Can large language models be privacy preserving and fair medical coders?—0
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities—0
Differentially Private Random Feature ModelCode0
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis—0
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy—0
Communication Compression for Distributed Learning without Control Variates—0
Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications—0
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
Towards the efficacy of federated prediction for epidemics on networksCode0
Private Linear Regression with Differential Privacy and PAC Privacy—0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices—0
Wasserstein Markets for Differentially-Private DataCode0
MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation—0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
FedAH: Aggregated Head for Personalized Federated LearningCode0
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks—0
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation—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
KAN See Your Face—0
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