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Privacy Preserving

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Showing 2351–2375 of 2975 papers

TitleStatusHype
Amicable Aid: Perturbing Images to Improve Classification Performance—0
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI—0
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning—0
A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis—0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
α-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing—0
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—0
An Algorithm for Learning Shape and Appearance Models without Annotations—0
Analysing Fairness of Privacy-Utility Mobility Models—0
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario—0
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs—0
An Attribute-Aligned Strategy for Learning Speech Representation—0
An Efficient DP-SGD Mechanism for Large Scale NLP Models—0
An Efficient Privacy-Preserving Multi-Keyword Query Scheme in Location Based Services—0
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms—0
An Empirical Study of Federated Prompt Learning for Vision Language Model—0
An Encryption Method of ConvMixer Models without Performance Degradation—0
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis—0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition—0
A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning—0
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging—0
An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
FLBench: A Benchmark Suite for Federated Learning—0
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning—0
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