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Privacy Preserving

Papers

Showing 901925 of 2975 papers

TitleStatusHype
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation0
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity0
Differentially Private GANs for Generating Synthetic Indoor Location Data0
Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning0
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding0
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data0
Privacy Preserving Prompt Engineering: A Survey0
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models0
Sensing-Resistance-Oriented Beamforming for Privacy Protection from ISAC Devices0
Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task LearningCode0
PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning0
Exploring Lightweight Federated Learning for Distributed Load Forecasting0
Gaussian-Smoothed Sliced Probability Divergences0
Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation0
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition0
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers0
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
Can LLMs get help from other LLMs without revealing private information?0
Privacy-preserving Optics for Enhancing Protection in Face De-identification0
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering0
Robust Federated Contrastive Recommender System against Model Poisoning Attack0
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data0
MAPL: Model Agnostic Peer-to-peer LearningCode0
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning0
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