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Privacy Preserving

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Showing 1151–1200 of 2975 papers

TitleStatusHype
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation—0
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence—0
Federated Remote Physiological Measurement with Imperfect Data—0
Federated Representation Learning for Automatic Speech Recognition—0
Federated Learning for Metaverse: A Survey—0
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning—0
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning—0
Dataset for Real-World Human Action Detection Using FMCW mmWave Radar—0
Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio—0
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method—0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect—0
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices—0
Federated Survival Analysis with Discrete-Time Cox Models—0
DBFed: Debiasing Federated Learning Framework based on Domain-Independent—0
Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning—0
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning—0
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings—0
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey—0
Federated Two-stage Learning with Sign-based Voting—0
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy—0
Federated unsupervised random forest for privacy-preserving patient stratification—0
Asynchronous Personalized Federated Learning through Global Memorization—0
Federated User Representation Learning—0
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces—0
FedEval: A Holistic Evaluation Framework for Federated Learning—0
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom—0
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency—0
Declarative Privacy-Preserving Inference Queries—0
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks—0
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning—0
FedGES: A Federated Learning Approach for BN Structure Learning—0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—0
Federated Learning for Commercial Image Sources—0
A synthetic dataset of French electric load curves with temperature conditioning—0
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation—0
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches—0
FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations—0
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection—0
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach—0
Federated Learning Empowered by Generative Content—0
Decentralized Federated Learning: A Survey on Security and Privacy—0
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination—0
Decentralized Graph Neural Network for Privacy-Preserving Recommendation—0
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses—0
Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities—0
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks—0
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation—0
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer—0
A Survey of Secure Computation Using Trusted Execution Environments—0
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