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Privacy Preserving

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Showing 801–850 of 2975 papers

TitleStatusHype
A LoRa-based Energy-efficient Sensing System for Urban Data Collection—0
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints—0
PowerInfer-2: Fast Large Language Model Inference on a SmartphoneCode9
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
LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face VerificationCode1
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human—0
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected NetworksCode0
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud—0
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation—0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning—0
Efficient Data Distribution Estimation for Accelerated Federated Learning—0
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation—0
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration—0
Amalgam: A Framework for Obfuscated Neural Network Training on the CloudCode0
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data SharingCode1
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning—0
No Free Lunch Theorem for Privacy-Preserving LLM Inference—0
Responsible AI for Earth Observation—0
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated LearningCode0
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning—0
Gradient Inversion of Federated Diffusion Models—0
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text—0
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective—0
Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications—0
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense—0
Privacy and Security Trade-off in Interconnected Systems with Known or Unknown Privacy Noise Covariance—0
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation—0
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation—0
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation—0
CHESS: Contextual Harnessing for Efficient SQL SynthesisCode3
Fair Federated Learning under Domain Skew with Local Consistency and Domain DiversityCode1
Vertical Federated Learning for Effectiveness, Security, Applicability: A SurveyCode1
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client IndexingCode0
Noisy Data Meets Privacy: Training Local Models with Post-Processed Remote Queries—0
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets—0
Scaling up the Banded Matrix Factorization Mechanism for Differentially Private ML—0
Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference—0
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid CloudsCode0
Recurrent Early Exits for Federated Learning with Heterogeneous ClientsCode1
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results—0
AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning—0
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs—0
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training—0
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems—0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks—0
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases AutosegmentationCode0
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