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Privacy Preserving

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Showing 1026–1050 of 2975 papers

TitleStatusHype
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models—0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—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
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain—0
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks—0
Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving—0
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationCode0
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints—0
A LoRa-based Energy-efficient Sensing System for Urban Data Collection—0
Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering—0
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems—0
Contrastive Explainable Clustering with Differential Privacy—0
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected NetworksCode0
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human—0
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation—0
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud—0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation—0
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning—0
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration—0
Efficient Data Distribution Estimation for Accelerated Federated Learning—0
Amalgam: A Framework for Obfuscated Neural Network Training on the CloudCode0
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning—0
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning—0
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