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Privacy Preserving

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Showing 1276–1300 of 2975 papers

TitleStatusHype
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized LearningCode0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach—0
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs—0
Federated Causal Inference from Observational DataCode0
A Survey of Graph Unlearning—0
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics—0
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks—0
Privacy-Preserving Face Recognition Using Random Frequency Components—0
Unlocking Accuracy and Fairness in Differentially Private Image ClassificationCode1
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated LearningCode4
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack DetectionCode1
East: Efficient and Accurate Secure Transformer Framework for Inference—0
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement LearningCode0
Defending Label Inference Attacks in Split Learning under Regression Setting—0
Privacy-Preserving 3-Layer Neural Network Training—0
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service—0
Home monitoring for frailty detection through sound and speaker diarization analysis—0
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a ServiceCode1
Independent Distribution Regularization for Private Graph EmbeddingCode0
Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition—0
Decentralized Graph Neural Network for Privacy-Preserving Recommendation—0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta LearningCode1
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