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Privacy Preserving

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Showing 551–575 of 2975 papers

TitleStatusHype
Exploring FMCW Radars and Feature Maps for Activity Recognition: A Benchmark Study—0
A Survey on Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, and Beyond—0
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams—0
Uncertainty-Aware Explainable Federated Learning—0
Generalization in Federated Learning: A Conditional Mutual Information Framework—0
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings—0
Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge—0
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting—0
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney DiseaseCode0
Token-Level Privacy in Large Language Models—0
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data—0
Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETs—0
FedPalm: A General Federated Learning Framework for Closed- and Open-Set Palmprint VerificationCode0
Privacy-Preserving Fair Synthetic Tabular Data—0
Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent SystemsCode0
SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients—0
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent EnterprisesCode0
Towards hyperparameter-free optimization with differential privacy—0
FLStore: Efficient Federated Learning Storage for non-training workloadsCode0
Asynchronous Personalized Federated Learning through Global Memorization—0
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks—0
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning—0
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels—0
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