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Privacy Preserving

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Showing 501–550 of 2975 papers

TitleStatusHype
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning—0
Complex-valued Federated Learning with Differential Privacy and MRI Applications—0
Composable Generative Models—0
Comprehensive Exploration of Synthetic Data Generation: A Survey—0
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks—0
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks—0
Compression Boosts Differentially Private Federated Learning—0
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles—0
Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection—0
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data—0
DER Forecast using Privacy Preserving Federated Learning—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Blockchain-based Trustworthy Federated Learning Architecture—0
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control—0
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles—0
Blockchain-based Federated Learning for Failure Detection in Industrial IoT—0
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning—0
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
Blockchain as a Service: A Decentralized and Secure Computing Paradigm—0
A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component—0
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing—0
Blind Targeting: Personalization under Third-Party Privacy Constraints—0
A Novel Multimodal System to Predict Agitation in People with Dementia Within Clinical Settings: A Proof of Concept—0
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning—0
A compressive multi-kernel method for privacy-preserving machine learning—0
Blind quantum machine learning with quantum bipartite correlator—0
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss—0
Adversarial Test on Learnable Image Encryption—0
Blind Federated Learning without initial model—0
BLAZE: Blazing Fast Privacy-Preserving Machine Learning—0
Decentralized Federated Learning: A Survey on Security and Privacy—0
Another Use of SMOTE for Interpretable Data Collaboration Analysis—0
Birds Eye View Social Distancing Analysis System—0
A note on privacy preserving iteratively reweighted least squares—0
Binary Mechanisms under Privacy-Preserving Noise—0
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning—0
Decentralized Graph Neural Network for Privacy-Preserving Recommendation—0
Decentralized Low-Rank Fine-Tuning of Large Language Models—0
Binary Federated Learning with Client-Level Differential Privacy—0
Bilevel Optimization for Differentially Private Optimization in Energy Systems—0
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation—0
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference—0
Anonymizing medical case-based explanations through disentanglement—0
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix—0
Mitigating Statistical Bias within Differentially Private Synthetic Data—0
Bias and Variance of Post-processing in Differential Privacy—0
BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models—0
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse—0
Anonymizing Data for Privacy-Preserving Federated Learning—0
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