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Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning

https://doi.org/10.1145/3633202
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11071-021-07160-1openalex-snapshot
Estimating the state of epidemics spreading with graph neural networks
inferredcites →https://doi.org/10.1007/s11071-022-07471-xopenalex-snapshot
Study of COVID-19 epidemiological evolution in India with a multi-wave SIR model
inferredcites →https://doi.org/10.1016/j.cie.2020.106854openalex-snapshot
A review of applications in federated learning
inferredcites →https://doi.org/10.1016/j.epidem.2021.100482openalex-snapshot
Estimating the generation interval and inferring the latent period of COVID-19 from the contact tracing data
inferredcites →https://doi.org/10.1016/j.scs.2021.102995openalex-snapshot
Digital contact tracing, community uptake, and proximity awareness technology to fight COVID-19: a systematic review
inferredcites →https://doi.org/10.1038/s41467-021-24732-2openalex-snapshot
Deep learning of contagion dynamics on complex networks
inferredcites →https://doi.org/10.1038/s41467-021-26144-8openalex-snapshot
Nationwide rollout reveals efficacy of epidemic control through digital contact tracing
inferredcites →https://doi.org/10.1038/s41467-022-30714-9openalex-snapshot
A federated graph neural network framework for privacy-preserving personalization
inferredcites →https://doi.org/10.1038/s41562-020-01044-xopenalex-snapshot
Tracking and promoting the usage of a COVID-19 contact tracing app
inferredcites →https://doi.org/10.1038/s41591-020-0832-5openalex-snapshot
On the responsible use of digital data to tackle the COVID-19 pandemic
inferredcites →https://doi.org/10.1038/s41591-022-01855-7openalex-snapshot
Modeling transmission of SARS-CoV-2 Omicron in China
inferredcites →https://doi.org/10.1038/s41598-021-02353-5openalex-snapshot
Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence
inferredcites →https://doi.org/10.1038/s41928-020-00535-zopenalex-snapshot
The past, present and future of digital contact tracing
inferredcites →https://doi.org/10.1038/s41928-020-00536-yopenalex-snapshot
Privacy and digital ethics after the pandemic
inferredcites →https://doi.org/10.1038/s42256-020-00236-4openalex-snapshot
Drug discovery with explainable artificial intelligence
inferredcites →https://doi.org/10.1073/pnas.1009094108openalex-snapshot
A high-resolution human contact network for infectious disease transmission
inferredcites →https://doi.org/10.1093/jamia/ocaa322openalex-snapshot
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence
inferredcites →https://doi.org/10.1109/2.993780openalex-snapshot
GPS: location-tracking technology
inferredcites →https://doi.org/10.1109/5.18626openalex-snapshot
A tutorial on hidden Markov models and selected applications in speech recognition
inferredcites →https://doi.org/10.1109/icde.1994openalex-snapshot
Proceedings of 1994 IEEE 10th International Conference on Data Engineering
inferredcites →https://doi.org/10.1109/jsac.2015.2430281openalex-snapshot
Location Fingerprinting With Bluetooth Low Energy Beacons
inferredcites →https://doi.org/10.1109/mcsa.2004.9openalex-snapshot
Cell-ID Location Technique, Limits and Benefits: An Experimental Study
inferredcites →https://doi.org/10.1109/mdm.2007.58openalex-snapshot
Protecting Moving Trajectories with Dummies
inferredcites →https://doi.org/10.1109/mis.2008.4openalex-snapshot
Estimating Location Using Wi-Fi
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1109/sp.2011.18openalex-snapshot
Quantifying Location Privacy
inferredcites →https://doi.org/10.1109/sp.2016.39openalex-snapshot
Synthesizing Plausible Privacy-Preserving Location Traces
inferredcites →https://doi.org/10.1109/sp.2019.00029openalex-snapshot
Exploiting Unintended Feature Leakage in Collaborative Learning
inferredcites →https://doi.org/10.1109/tai.2021.3076021openalex-snapshot
Graph Learning: A Survey
inferredcites →https://doi.org/10.1109/tifs.2020.2988575openalex-snapshot
Federated Learning With Differential Privacy: Algorithms and Performance Analysis
inferredcites →https://doi.org/10.1109/tpds.2021.3125565openalex-snapshot
FedGraph: Federated Graph Learning With Intelligent Sampling
inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot
Privacy-Preserving Deep Learning
inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot
Deep Learning with Differential Privacy
inferredcites →https://doi.org/10.1145/3133956.3134012openalex-snapshot
Deep Models Under the GAN
inferredcites →https://doi.org/10.1145/3340531.3411927openalex-snapshot
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467371openalex-snapshot
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
inferredcites →https://doi.org/10.1145/3448016.3459237openalex-snapshot
P 2 B-Trace
inferredcites →https://doi.org/10.1145/3469887openalex-snapshot
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation
inferredcites →https://doi.org/10.1145/3481044openalex-snapshot
Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data
inferredcites →https://doi.org/10.1145/3485447.3512233openalex-snapshot
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning
inferredcites →https://doi.org/10.1145/3490491openalex-snapshot
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment
inferredcites →https://doi.org/10.1145/3491102.3517703openalex-snapshot
Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges
inferredcites →https://doi.org/10.1145/3501815openalex-snapshot
Federated Social Recommendation with Graph Neural Network
inferredcites →https://doi.org/10.1145/3511700openalex-snapshot
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
inferredcites →https://doi.org/10.1145/3534678.3539093openalex-snapshot
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
inferredcites →https://doi.org/10.1145/3534678.3539195openalex-snapshot
Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3534678.3539383openalex-snapshot
Graph-Flashback Network for Next Location Recommendation
inferredcites →https://doi.org/10.1145/3546870openalex-snapshot
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3555374openalex-snapshot
Decentralized Collaborative Learning Framework for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3568395openalex-snapshot
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3575637.3575644openalex-snapshot
Federated Graph Machine Learning
inferredcites →https://doi.org/10.1177/0020731420928971openalex-snapshot
Early Warnings: The Lessons of COVID-19 for Public Health Climate Preparedness
inferredcites →https://doi.org/10.14778/3551793.3551827openalex-snapshot
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013558openalex-snapshot
Hypergraph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v36i11.21479openalex-snapshot
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
inferredcites →https://doi.org/10.1609/aaai.v36i6.20643openalex-snapshot
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.21037/jtd.2020.02.64openalex-snapshot
Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
inferredcites →https://doi.org/10.24963/ijcai.2018/505openalex-snapshot
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
inferredcites →https://doi.org/10.24963/ijcai.2019/264openalex-snapshot
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
inferredcites →https://doi.org/10.24963/ijcai.2021/214openalex-snapshot
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
inferredcites →https://doi.org/10.3201/eid2607.200282openalex-snapshot
High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2
inferredcites →https://doi.org/10.48550/arxiv.2112.00059openalex-snapshot
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s13721-025-00672-5openalex-snapshot
Hybrid graph-based models in medical decision support
inferred← citeshttps://doi.org/10.1007/s44443-026-00822-3openalex-snapshot
Federated heterogeneous subgraph learning with meta-path-guided role mapping and condensation
inferred← citeshttps://doi.org/10.1016/j.cmpb.2025.108928openalex-snapshot
A Joint Multimodal User Authentication-based Privacy Preservation with Disease Prediction Framework in Modern Healthcare System Using Multi-Scale Cross Attention-based ResNet
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104287openalex-snapshot
Federated learning for spatio-temporal data mining: a survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114693openalex-snapshot
DPBRW-GGAN: Graph data generation based on biased random walk with differential privacy
inferred← citeshttps://doi.org/10.1016/j.taml.2025.100629openalex-snapshot
Artificial intelligence application in multiscale biomechanics
inferred← citeshttps://doi.org/10.1038/s41598-025-06306-0openalex-snapshot
Mamba-fusion for privacy-preserving disease prediction
inferred← citeshttps://doi.org/10.1109/access.2025.3564962openalex-snapshot
Mamba-Based VoxelMorph Framework for Cardiovascular Disease Imaging and Risk Assessment
inferred← citeshttps://doi.org/10.1109/bdai66031.2025.11325569openalex-snapshot
Predicting Dynamics on Hypergraphs with Graph Attention Networks
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292337openalex-snapshot
Privacy-Preserving COVID-19 Screening Using Homomorphic Encryption and Logistic Regression
inferred← citeshttps://doi.org/10.1109/icmlt65785.2025.11193366openalex-snapshot
Federated Learning in the Diagnosis of Medical Diseases: A Survey
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3612282openalex-snapshot
Provable Privacy Guarantee for Individual Identities and Locations in Large-Scale Contact Tracing
inferred← citeshttps://doi.org/10.1145/3664650openalex-snapshot
Advancements in Federated Learning: Models, Methods, and Privacy
inferred← citeshttps://doi.org/10.3390/app15052481openalex-snapshot
Personalized Federated Learning with Progressive Local Training Strategy and Lightweight Classifier
inferred← citeshttps://doi.org/10.4236/ojapps.2024.1411195openalex-snapshot
Federated Graph Learning Based on Graph Distance Computing
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