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Privacy Preserving

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Showing 1551–1600 of 2975 papers

TitleStatusHype
Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization—0
Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption—0
Privacy-Preserving Distributed Optimisation using Stochastic PDMM—0
Privacy-Preserving Distributed Optimization and Learning—0
FedPower: Privacy-Preserving Distributed Eigenspace Estimation—0
Privacy-Preserving Distributed Zeroth-Order Optimization—0
Privacy-Preserving Domain Adaptation of Semantic Parsers—0
Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning—0
Privacy-Preserving Dynamic Assortment Selection—0
Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control—0
Privacy-Preserving Dynamic Personalized Pricing with Demand Learning—0
Privacy-Preserving Edge Speech Understanding with Tiny Foundation Models—0
Privacy-Preserving Encrypted Low-Dose CT Denoising—0
Privacy-Preserving End-to-End Spoken Language Understanding—0
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence—0
Privacy-Preserving Eye-tracking Using Deep Learning—0
Privacy-Preserving Eye Videos using Rubber Sheet Model—0
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain—0
Privacy-Preserving Face Recognition Using Random Frequency Components—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain—0
Privacy Preserving Face Retrieval in the Cloud for Mobile Users—0
Privacy-Preserving Fair Item Ranking—0
Privacy-Preserving Fair Synthetic Tabular Data—0
Privacy-Preserving Feature Coding for Machines—0
Privacy-preserving feature selection: A survey and proposing a new set of protocols—0
Privacy-Preserving Feature Selection with Secure Multiparty Computation—0
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability—0
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data—0
Privacy-preserving Federated Brain Tumour Segmentation—0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation—0
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence—0
Privacy-Preserving Federated Learning against Malicious Clients Based on Verifiable Functional Encryption—0
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management—0
Privacy-Preserving Federated Learning on Partitioned Attributes—0
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection—0
Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption—0
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks—0
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks—0
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator—0
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing—0
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data—0
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification—0
Privacy-preserving Fine-tuning of Large Language Models through Flatness—0
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy—0
Privacy-Preserving Framework for Cell-Free MIMO ISAC Systems—0
Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts—0
Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption—0
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework—0
Privacy-preserving Generative Framework Against Membership Inference Attacks—0
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