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Privacy Preserving

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Showing 826–850 of 2975 papers

TitleStatusHype
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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