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Privacy Preserving

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Showing 1001–1050 of 2975 papers

TitleStatusHype
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare—0
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets—0
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation—0
Decentralized Search on Decentralized Web—0
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning—0
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants—0
Decentralized Low-Rank Fine-Tuning of Large Language Models—0
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimer's Speech Detection—0
Comprehensive Exploration of Synthetic Data Generation: A Survey—0
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning—0
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration—0
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results—0
FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks—0
Decentralized Graph Neural Network for Privacy-Preserving Recommendation—0
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation—0
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination—0
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation—0
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization—0
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation—0
FedDQ: Communication-Efficient Federated Learning with Descending Quantization—0
Decentralized Federated Learning: A Survey on Security and Privacy—0
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels—0
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization—0
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning—0
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach—0
Decentralized Entropic Optimal Transport for Distributed Distribution Comparison—0
A synthetic dataset of French electric load curves with temperature conditioning—0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness—0
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI—0
A Distance Measure for Privacy-preserving Process Mining based on Feature Learning—0
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation—0
Federated In-Context LLM Agent Learning—0
Decentralized Collaborative Learning with Probabilistic Data Protection—0
Decentralized Collaborative Learning Framework for Next POI Recommendation—0
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation—0
Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning—0
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients—0
Amicable Aid: Perturbing Images to Improve Classification Performance—0
Asynchronous Personalized Federated Learning through Global Memorization—0
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation—0
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric—0
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference—0
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks—0
DBFed: Debiasing Federated Learning Framework based on Domain-Independent—0
Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method—0
Asynchronous Distributed Learning from Constraints—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect—0
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