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Privacy Preserving

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Showing 1551–1600 of 2975 papers

TitleStatusHype
Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning—0
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning—0
A Privacy-Preserving Federated Learning Approach for Kernel methods—0
Over-the-Air Federated Learning In Broadband Communication—0
Privacy-Preserving by Design: Indoor Positioning System Using Wi-Fi Passive TDOA—0
A FAIR platform for reproducing mutational signature detection on tumor sequencing dataCode0
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting—0
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning—0
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos—0
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks—0
Bytes Are All You Need: Transformers Operating Directly On File Bytes—0
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility—0
Improved Privacy-Preserving PCA Using Optimized Homomorphic Matrix Multiplication—0
Secure Vertical Federated Learning Under Unreliable Connectivity—0
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning—0
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images—0
MERGE: Fast Private Text GenerationCode0
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks—0
Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
Evaluating Privacy Leakage in Split Learning—0
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models—0
Free Lunch for Privacy Preserving Distributed Graph Learning—0
Efficient Vertical Federated Learning with Secure Aggregation—0
Private Gradient Estimation is Useful for Generative Modeling—0
Smart Policy Control for Securing Federated Learning Management System—0
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence—0
Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain—0
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning—0
Adaptive Federated Pruning in Hierarchical Wireless Networks—0
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures—0
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning—0
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction—0
Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment—0
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems—0
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation—0
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training—0
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models—0
Privacy-Preserving Prompt Tuning for Large Language Model Services—0
Collaborative Chinese Text Recognition with Personalized Federated Learning—0
Turning Privacy-preserving Mechanisms against Federated Learning—0
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation—0
Privacy-preserving Adversarial Facial Features—0
A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge ComputingCode0
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera PosesCode0
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion—0
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information—0
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model—0
An Overview of AI and Blockchain Integration for Privacy-Preserving—0
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