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Privacy Preserving

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Showing 776–800 of 2975 papers

TitleStatusHype
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis—0
Attack-Aware Noise Calibration for Differential PrivacyCode1
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training—0
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging—0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
A Quantization-based Technique for Privacy Preserving Distributed Learning—0
WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic ModelCode0
Privacy Preserving Reinforcement Learning for Population Processes—0
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework—0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy—0
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and VotingCode2
Privacy Implications of Explainable AI in Data-Driven Systems—0
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning ApproachCode0
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning—0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models—0
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions—0
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data—0
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks—0
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain—0
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationCode0
Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving—0
A Synthetic Dataset for Personal Attribute InferenceCode2
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