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Privacy Preserving

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Showing 2376–2400 of 2975 papers

TitleStatusHype
Auto-weighted Robust Federated Learning with Corrupted Data SourcesCode0
Preserving Privacy in Personalized Models for Distributed Mobile Services—0
Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning—0
C^3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era—0
Privacy-Preserving Transactive Energy Management for IoT-aided Smart Homes via Blockchain—0
Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications—0
Domain Adaptation for the Segmentation of Confidential Medical ImagesCode0
Modularity maximisation for graphonsCode0
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment—0
Learning Privacy-Preserving Optics for Human Pose Estimation—0
X-World: Accessibility, Vision, and Autonomy Meet—0
Ensemble Attention Distillation for Privacy-Preserving Federated Learning—0
Practical Locally Private Federated Learning with Communication Efficiency—0
Scaling Unsupervised Domain Adaptation through Optimal Collaborator Selection and Lazy Discriminator Synchronization—0
Median DC for Sign Recovery: Privacy can be Achieved by Deterministic Algorithms—0
Bayesian Federated Learning over Wireless Networks—0
Robustness, Privacy, and Generalization of Adversarial TrainingCode0
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare—0
Privacy-Preserving Clustering: A New ApproachBased on Invariant Order EncryptionCode0
Fundamental Limits and Tradeoffs in Invariant Representation Learning—0
Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree LearningCode0
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced DatasetsCode1
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design—0
Difficulty in estimating visual information from randomly sampled images—0
FedeRank: User Controlled Feedback with Federated Recommender Systems—0
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