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Privacy Preserving

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Showing 2201–2225 of 2975 papers

TitleStatusHype
Efficient privacy-preserving inference for convolutional neural networks—0
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning—0
Infinitely Divisible Noise in the Low Privacy RegimeCode0
Not all noise is accounted equally: How differentially private learning benefits from large sampling ratesCode0
Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection—0
Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection—0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing—0
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech EnhancementCode0
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning—0
Complex-valued Federated Learning with Differential Privacy and MRI Applications—0
Neural Tangent Kernel Empowered Federated Learning—0
Secure Byzantine-Robust Distributed Learning via Clustering—0
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning—0
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance—0
FedDQ: Communication-Efficient Federated Learning with Descending Quantization—0
Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing—0
Dirichlet Mechanism for Differentially Private KL Divergence MinimizationCode0
One-Bit Matrix Completion with Differential Privacy—0
A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning—0
Practical and Private Heterogeneous Federated Learning—0
Demystifying Hyperparameter Optimization in Federated Learning—0
Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees—0
Privacy-preserving Task-Agnostic Vision Transformer for Image ProcessingCode0
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning—0
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