SOTAVerified

Privacy Preserving

Papers

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Showing 751–800 of 2975 papers

TitleStatusHype
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning—0
Complex-valued Federated Learning with Differential Privacy and MRI Applications—0
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning—0
Artificial Intelligence at the Edge—0
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare—0
Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning—0
Large-Scale Secure XGB for Vertical Federated Learning—0
Comparative assessment of federated and centralized machine learning—0
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports—0
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection—0
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning—0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—0
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation—0
Communication-Efficient Robust Federated Learning with Noisy Labels—0
Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments—0
A Review on Machine Unlearning—0
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence—0
Communication-Efficient Federated Distillation with Active Data Sampling—0
A Review of Scalable and Privacy-Preserving Multi-Agent Frameworks for Distributed Energy Resources—0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization—0
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning—0
A Review of Privacy-preserving Federated Learning for the Internet-of-Things—0
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks—0
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack—0
A review of federated learning in renewable energy applications: Potential, challenges, and future directions—0
Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence—0
Communication-Computation Efficient Secure Aggregation for Federated Learning—0
Are Trees Really Green? A Detection Approach of IoT Malware Attacks—0
A Graph Federated Architecture with Privacy Preserving Learning—0
Communication Compression for Distributed Learning without Control Variates—0
Communication and Computation Reduction for Split Learning using Asynchronous Training—0
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study—0
Combining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study—0
Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer—0
Architectural Blueprint For Heterogeneity-Resilient Federated Learning—0
A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers—0
Adaptive Federated Pruning in Hierarchical Wireless Networks—0
Accelerating Fair Federated Learning: Adaptive Federated Adam—0
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks—0
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy—0
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability—0
Collaborative Inference over Wireless Channels with Feature Differential Privacy—0
A Randomized Approach for Tight Privacy Accounting—0
Collaborative Drug Discovery: Inference-level Data Protection Perspective—0
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization—0
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy—0
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems—0
Adaptive Federated Minimax Optimization with Lower Complexities—0
CollabLoc: Privacy-Preserving Multi-Modal Localization via Collaborative Information Fusion—0
Coincidental Generation—0
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