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Efficient Federated Matrix Factorization Against Inference Attacks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-48671-0_36openalex-snapshot
Location Privacy Protected Recommendation System in Mobile Cloud
inferredcites →https://doi.org/10.1007/978-3-319-70694-8_15openalex-snapshot
Homomorphic Encryption for Arithmetic of Approximate Numbers
inferredcites →https://doi.org/10.1007/s10115-007-0114-2openalex-snapshot
Top 10 algorithms in data mining
inferredcites →https://doi.org/10.1007/s41019-016-0020-2openalex-snapshot
A Practical Privacy-Preserving Recommender System
inferredcites →https://doi.org/10.1016/j.eng.2018.02.005openalex-snapshot
Toward Privacy-Preserving Personalized Recommendation Services
inferredcites →https://doi.org/10.1016/j.jnca.2015.05.010openalex-snapshot
NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs
inferredcites →https://doi.org/10.1088/1742-6596/1325/1/012087openalex-snapshot
Privacy Protection for Recommendation System: A Survey
inferredcites →https://doi.org/10.1109/allerton.2012.6483382openalex-snapshot
Privacy against statistical inference
inferredcites →https://doi.org/10.1109/icdcs.2017.248openalex-snapshot
Privacy Preserving User-Based Recommender System
inferredcites →https://doi.org/10.1109/icdm.2014.140openalex-snapshot
Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mis.2020.3014880openalex-snapshot
Secure Federated Matrix Factorization
inferredcites →https://doi.org/10.1109/tkde.2018.2805356openalex-snapshot
Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
inferredcites →https://doi.org/10.1109/tkde.2018.2840974openalex-snapshot
Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1557019.1557090openalex-snapshot
Differentially private recommender systems
inferredcites →https://doi.org/10.1145/2508859.2516751openalex-snapshot
Privacy-preserving matrix factorization
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2792838.2800173openalex-snapshot
Applying Differential Privacy to Matrix Factorization
inferredcites →https://doi.org/10.1145/2897845.2897875openalex-snapshot
Efficient Privacy-Preserving Matrix Factorization via Fully Homomorphic Encryption
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/301250.301312openalex-snapshot
Oblivious transfer and polynomial evaluation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1145/3209978.3209991openalex-snapshot
Collaborative Memory Network for Recommendation Systems
inferredcites →https://doi.org/10.1145/3240323.3240343openalex-snapshot
Spectral collaborative filtering
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.48550/arxiv.1704.03578openalex-snapshot
A Survey on Homomorphic Encryption Schemes: Theory and Implementation
inferredcites →https://doi.org/10.48550/arxiv.1901.09888openalex-snapshot
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-96-0567-5_17openalex-snapshot
SARA: A Sparsity-Aware Efficient Oblivious Aggregation Service for Federated Matrix Factorization
inferred← citeshttps://doi.org/10.1007/978-981-97-5663-6_34openalex-snapshot
Exploring Personalized Intents with Knowledge Graph for Federated Self-supervised Recommendation
inferred← citeshttps://doi.org/10.1007/s11432-024-4310-7openalex-snapshot
A survey on cross-user federated recommendation
inferred← citeshttps://doi.org/10.1007/s41019-025-00308-8openalex-snapshot
On-Device Recommender Systems: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103470openalex-snapshot
Efficient federated item similarity model for privacy-preserving recommendation
inferred← citeshttps://doi.org/10.1109/eurosp68448.2026.00046openalex-snapshot
Federated Matrix Factorization under Local Differential Privacy via Directional Noise
inferred← citeshttps://doi.org/10.1109/infocom53939.2023.10228872openalex-snapshot
Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion
inferred← citeshttps://doi.org/10.1109/jiot.2024.3382875openalex-snapshot
Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey
inferred← citeshttps://doi.org/10.1109/tcss.2023.3322824openalex-snapshot
Federated Matrix Factorization Recommendation Based on Secret Sharing for Privacy Preserving
inferred← citeshttps://doi.org/10.1109/tkde.2025.3606643openalex-snapshot
Personalized Recommendation Models in Federated Settings: A Survey
inferred← citeshttps://doi.org/10.1145/3589335.3641250openalex-snapshot
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm
inferred← citeshttps://doi.org/10.1145/3608481openalex-snapshot
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations
inferred← citeshttps://doi.org/10.1145/3652891openalex-snapshot
A Survey on Trustworthy Recommender Systems
inferred← citeshttps://doi.org/10.1145/3653982openalex-snapshot
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation
inferred← citeshttps://doi.org/10.1145/3656165openalex-snapshot
Horizontal Federated Recommender System: A Survey
inferred← citeshttps://doi.org/10.1145/3701716.3715860openalex-snapshot
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
inferred← citeshttps://doi.org/10.1145/3708982openalex-snapshot
Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain
inferred← citeshttps://doi.org/10.1145/3749990openalex-snapshot
Cross-User Federated Recommendation Unlearning
inferred← citeshttps://doi.org/10.3389/fdata.2023.1249997openalex-snapshot
Differential privacy in collaborative filtering recommender systems: a review
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