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Privacy Preserving

Papers

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Showing 2401–2450 of 2975 papers

TitleStatusHype
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning—0
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework—0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis—0
A Privacy-Preserving Energy Management System for Cooperative Multi-Microgrid Networks—0
A Privacy-Preserving Federated Learning Approach for Kernel methods—0
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy—0
A Privacy-Preserving Framework for Cloud-Based HVAC Control—0
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation—0
A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset—0
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images—0
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning—0
A privacy-preserving method using secret key for convolutional neural network-based speech classification—0
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models—0
A Privacy-Preserving Outsourced Data Model in Cloud Environment—0
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion—0
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique—0
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy—0
A Privacy Preserving System for Movie Recommendations Using Federated Learning—0
A Privacy-Preserving Trust Model Based on Blockchain for VANETs—0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis—0
A Quantization-based Technique for Privacy Preserving Distributed Learning—0
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy—0
A Randomized Approach for Tight Privacy Accounting—0
Architectural Blueprint For Heterogeneity-Resilient Federated Learning—0
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study—0
Are Trees Really Green? A Detection Approach of IoT Malware Attacks—0
A review of federated learning in renewable energy applications: Potential, challenges, and future directions—0
A Review of Privacy-preserving Federated Learning for the Internet-of-Things—0
A Review of Scalable and Privacy-Preserving Multi-Agent Frameworks for Distributed Energy Resources—0
A Review on Machine Unlearning—0
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection—0
Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning—0
Artificial Intelligence at the Edge—0
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain—0
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks—0
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning—0
A Secure and Efficient Distributed Semantic Communication System for Heterogeneous Internet of Things—0
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications—0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting—0
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning—0
A Snapshot of the Frontiers of Client Selection in Federated Learning—0
Assessing Centrality Without Knowing Connections—0
Assessment of creditworthiness models privacy-preserving training with synthetic data—0
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection—0
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem—0
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices—0
A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning—0
A Survey of Graph Unlearning—0
A Survey of Secure Computation Using Trusted Execution Environments—0
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