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Privacy Preserving

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Showing 2301–2325 of 2975 papers

TitleStatusHype
AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator—0
Advancements in Federated Learning: Models, Methods, and Privacy—0
Advances in Robust Federated Learning: Heterogeneity Considerations—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond—0
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization—0
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations—0
Adversarial Test on Learnable Image Encryption—0
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning—0
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction—0
A Fairness Analysis on Private Aggregation of Teacher Ensembles—0
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities—0
A Federated Approach to Predict Emojis in Hindi Tweets—0
A Federated Deep Learning Approach for Privacy-Preserving Real-Time Transient Stability Predictions in Power Systems—0
A Federated Learning Approach to Privacy Preserving Offensive Language Identification—0
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction—0
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges—0
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—0
A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection—0
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations—0
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism—0
A Framework for Distributed and Compositional Stability Analysis of Power Grids—0
A Framework for Double-Blind Federated Adaptation of Foundation Models—0
A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy—0
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