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Privacy Preserving

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Showing 2151–2200 of 2975 papers

TitleStatusHype
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization—0
IndicFed: A Federated Approach for Sentiment Analysis in Indic Languages—0
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains—0
Gaussian Mechanisms Against Statistical Inference: Synthesis Tools—0
Privacy-Preserving Serverless Edge Learning with Decentralized Small Data—0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity ModelingCode0
Towards Understanding the Impact of Model Size on Differential Private Classification—0
Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements—0
Node-Level Differentially Private Graph Neural Networks—0
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability—0
Identifying Population Movements with Non-Negative Matrix Factorization from Wi-Fi User Counts in Smart and Connected Cities—0
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps—0
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting—0
Local Differential Privacy for Privacy-Preserving NLP Tasks—0
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningCode0
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture—0
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities—0
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning—0
Privacy-Preserving Distributed Average Consensus in Finite Time using Random Gossip—0
A methodology for training homomorphicencryption friendly neural networks—0
DVFL: A Vertical Federated Learning Method for Dynamic Data—0
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits—0
Practical and Light-weight Secure Aggregation for Federated Submodel Learning—0
Reconstruction Attack on Instance Encoding for Language Understanding—0
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning—0
Dynamic Differential-Privacy Preserving SGD—0
Federated Learning with Heterogeneous Differential Privacy—0
Consensus-Based Decentralized Energy Trading for Distributed Energy Resources—0
Generating synthetic transactional profiles—0
FedPrune: Towards Inclusive Federated Learning—0
Locally Differentially Private Bayesian Inference—0
Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization CollaborationsCode0
MarS-FL: Enabling Competitors to Collaborate in Federated Learning—0
EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting—0
DPCOVID: Privacy-Preserving Federated Covid-19 Detection—0
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy—0
Tackling the Local Bias in Federated Graph Learning—0
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree—0
ML with HE: Privacy Preserving Machine Learning Inferences for Genome StudiesCode0
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences—0
Privacy in Open Search: A Review of Challenges and Solutions—0
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching—0
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes—0
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing—0
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling—0
A Federated Approach to Predict Emojis in Hindi Tweets—0
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing—0
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture—0
Occupancy Estimation from Thermal Images—0
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