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Privacy Preserving

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TitleStatusHype
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation—0
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning—0
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release—0
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks—0
Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation—0
Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing—0
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence—0
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data—0
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection—0
Feature Inference Attack on Shapley Values—0
Feature Matching Data Synthesis for Non-IID Federated Learning—0
A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer—0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning—0
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation—0
Decision Making with Differential Privacy under a Fairness Lens—0
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification—0
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings—0
FedBot: Enhancing Privacy in Chatbots with Federated Learning—0
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models—0
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports—0
Comparative assessment of federated and centralized machine learning—0
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction—0
Bridging Privacy and Robustness for Trustworthy Machine Learning—0
A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis—0
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