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Privacy Preserving

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TitleStatusHype
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks—0
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels—0
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge—0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing TasksCode0
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning—0
See through Gradients: Image Batch Recovery via GradInversion—0
Natural Language Understanding with Privacy-Preserving BERT—0
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector—0
Towards Causal Federated Learning For Enhanced Robustness and Privacy—0
Privacy-Preserving Supervisory Control of Discrete-Event Systems via Co-Synthesis of Edit Function and Supervisor for Opacity Enforcement and Requirement Satisfaction—0
PrivateSNN: Privacy-Preserving Spiking Neural Networks—0
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification—0
Rejoinder: Gaussian Differential Privacy—0
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable SemanticsCode0
Knowledge Distillation For Wireless Edge LearningCode0
Generation of Gradient-Preserving Images allowing HOG Feature Extraction—0
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification—0
Fast-adapting and Privacy-preserving Federated Recommender System—0
Configurable Privacy-Preserving Automatic Speech Recognition—0
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19—0
Privacy and Trust Redefined in Federated Machine LearningCode0
Vulnerability Due to Training Order in Split Learning—0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
A privacy-preserving distributed computational approach for distributed locational marginal prices—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—0
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