SOTAVerified

Privacy Preserving

Papers

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Showing 2001–2025 of 2975 papers

TitleStatusHype
SoK: What Makes Private Learning Unfair?—0
Source Anonymity for Private Random Walk Decentralized Learning—0
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0—0
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning—0
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data—0
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces—0
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain—0
SPEFL: Efficient Security and Privacy Enhanced Federated Learning Against Poisoning Attacks—0
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics—0
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability—0
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation—0
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT—0
sqSGD: Locally Private and Communication Efficient Federated Learning—0
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud—0
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection—0
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems—0
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey—0
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences—0
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation—0
Step length measurement in the wild using FMCW radar—0
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving—0
Stochastic Client Selection for Federated Learning with Volatile Clients—0
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design—0
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees—0
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition—0
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