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Privacy Preserving

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Showing 651–700 of 2975 papers

TitleStatusHype
Resource-Constrained Federated Continual Learning: What Does Matter?—0
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning—0
Privacy-Preserving Model and Preprocessing Verification for Machine Learning—0
UFGraphFR: An attempt at a federated recommendation system based on user text characteristicsCode0
EVA-S2PLoR: A Secure Element-wise Multiplication Meets Logistic Regression on Heterogeneous Database—0
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning—0
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning—0
Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization—0
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions—0
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models—0
Reach Measurement, Optimization and Frequency Capping In Targeted Online Advertising Under k-Anonymity—0
Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning—0
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning—0
Forecasting Anonymized Electricity Load Profiles—0
FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot DetectionCode0
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems—0
From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning—0
The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks—0
Towards the Anonymization of the Language Modeling—0
Efficient Deployment of Large Language Models on Resource-constrained Devices—0
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution—0
Gaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization—0
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment—0
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation—0
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter—0
Privacy-Preserving Distributed Defense Framework for DC Microgrids Against Exponentially Unbounded False Data Injection Attacks—0
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOCode0
Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Towards nation-wide analytical healthcare infrastructures: A privacy-preserving augmented knee rehabilitation case studyCode0
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy—0
Reconciling Privacy and Explainability in High-Stakes: A Systematic InquiryCode0
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding—0
A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis—0
Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints—0
FFA Sora, video generation as fundus fluorescein angiography simulator—0
Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction—0
Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine LearningCode0
Dataset for Real-World Human Action Detection Using FMCW mmWave Radar—0
Modular Conversational Agents for Surveys and Interviews—0
Label Privacy in Split Learning for Large Models with Parameter-Efficient TrainingCode0
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference—0
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions—0
Benchmarking LLMs and SLMs for patient reported outcomes—0
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks—0
Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation—0
Clio: Privacy-Preserving Insights into Real-World AI Use—0
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models—0
FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning—0
Towards privacy-preserving cooperative control via encrypted distributed optimization—0
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