SOTAVerified

Privacy Preserving

Papers

Showing 751775 of 2975 papers

TitleStatusHype
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning0
Complex-valued Federated Learning with Differential Privacy and MRI Applications0
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning0
Artificial Intelligence at the Edge0
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare0
Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning0
Large-Scale Secure XGB for Vertical Federated Learning0
Comparative assessment of federated and centralized machine learning0
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports0
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection0
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling0
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation0
Communication-Efficient Robust Federated Learning with Noisy Labels0
Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments0
A Review on Machine Unlearning0
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence0
Communication-Efficient Federated Distillation with Active Data Sampling0
A Review of Scalable and Privacy-Preserving Multi-Agent Frameworks for Distributed Energy Resources0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization0
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning0
A Review of Privacy-preserving Federated Learning for the Internet-of-Things0
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks0
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack0
A review of federated learning in renewable energy applications: Potential, challenges, and future directions0
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