SOTAVerified

Privacy Preserving

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Showing 2251–2275 of 2975 papers

TitleStatusHype
ABCDP: Approximate Bayesian Computation with Differential Privacy—0
A Benchmark for Multi-speaker Anonymization—0
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning—0
A blockchain-orchestrated Federated Learning architecture for healthcare consortia—0
A Blockchain Solution for Collaborative Machine Learning over IoT—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
A capacity renting framework for shared energy storage considering peer-to-peer energy trading of prosumers with privacy protection—0
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs—0
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses—0
Accelerating Fair Federated Learning: Adaptive Federated Adam—0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—0
Accelerating Federated Edge Learning via Topology Optimization—0
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems—0
Accessible Gesture-Driven Augmented Reality Interaction System—0
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets—0
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning—0
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration—0
A Comparative Study of Federated Learning Models for COVID-19 Detection—0
Exploit the Leak: Understanding Risks in Biometric Matchers—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning—0
A compressive multi-kernel method for privacy-preserving machine learning—0
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems—0
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