SOTAVerified

Privacy Preserving

Papers

Showing 951–1000 of 2975 papers

TitleStatusHype
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—0
Efficient Privacy-Preserving Stochastic Nonconvex Optimization—0
Facial Data Minimization: Shallow Model as Your Privacy Filter—0
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Fair Division with Money and Prices—0
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing—0
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework—0
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization—0
Fairness-aware Differentially Private Collaborative Filtering—0
Fairness-Driven Private Collaborative Machine Learning—0
Fairness in Federated Learning for Spatial-Temporal Applications—0
Fairness in the Eyes of the Data: Certifying Machine-Learning Models—0
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes—0
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning—0
Faithful and Privacy-Preserving Implementation of Average Consensus—0
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data—0
Fast-adapting and Privacy-preserving Federated Recommender System—0
Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes—0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—0
Fast Deep Autoencoder for Federated learning—0
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption—0
Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing—0
A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning—0
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation—0
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning—0
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency—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
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression—0
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection—0
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer—0
Feature Matching Data Synthesis for Non-IID Federated Learning—0
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition—0
Can LLMs get help from other LLMs without revealing private information?—0
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning—0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing—0
Efficient Deployment of Large Language Models on Resource-constrained Devices—0
Efficient Deep Learning on Multi-Source Private Data—0
FedBot: Enhancing Privacy in Chatbots with Federated Learning—0
Can large language models be privacy preserving and fair medical coders?—0
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges—0
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays—0
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction—0
Efficient Data Distribution Estimation for Accelerated Federated Learning—0
Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent—0
Show:102550
← PrevPage 20 of 60Next →

No leaderboard results yet.