SOTAVerified

Privacy Preserving

Papers

Showing 351–375 of 2975 papers

TitleStatusHype
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations—0
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy—0
A Privacy-Preserving Federated Learning Approach for Kernel methods—0
A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection—0
A capacity renting framework for shared energy storage considering peer-to-peer energy trading of prosumers with privacy protection—0
A Privacy-Preserving Energy Management System for Cooperative Multi-Microgrid Networks—0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—0
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework—0
A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning—0
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges—0
A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research—0
A privacy-preserving distributed computational approach for distributed locational marginal prices—0
Active Inference for Energy Control and Planning in Smart Buildings and Communities—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors—0
A Privacy Preserving Data Publishing Middleware for Unstructured, Textual Social Media Data—0
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction—0
A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images—0
A Federated Learning Approach to Privacy Preserving Offensive Language Identification—0
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