SOTAVerified

Privacy Preserving

Papers

Showing 351–400 of 2975 papers

TitleStatusHype
A Privacy-Preserving Framework for Cloud-Based HVAC Control—0
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
Chemical knowledge-informed framework for privacy-aware retrosynthesis 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
Active Distribution Learning from Indirect Samples—0
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection—0
A Privacy-Preserving and Trustable Multi-agent Learning Framework—0
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning—0
Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving—0
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals—0
A Federated Deep Learning Approach for Privacy-Preserving Real-Time Transient Stability Predictions in Power Systems—0
A Blockchain Solution for Collaborative Machine Learning over IoT—0
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training—0
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning—0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning—0
A Federated Approach to Predict Emojis in Hindi Tweets—0
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification—0
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities—0
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare—0
A Personal Privacy Preserving Framework: I Let You Know Who Can See What—0
Acoustic scattering AI for non-invasive object classifications: A case study on hair assessment—0
Challenges of Privacy-Preserving Machine Learning in IoT—0
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information—0
Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning—0
Bootstrap Model Aggregation for Distributed Statistical Learning—0
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation—0
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning—0
A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control—0
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