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A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/978-3-030-72113-8_3openalex-snapshot
FedeRank: User Controlled Feedback with Federated Recommender Systems
inferredcites →https://doi.org/10.1007/s11227-020-03555-wopenalex-snapshot
Sequence-aware similarity learning for next-item recommendation
inferredcites →https://doi.org/10.1016/j.future.2014.11.003openalex-snapshot
An algorithm for efficient privacy-preserving item-based collaborative filtering
inferredcites →https://doi.org/10.1016/j.ins.2018.12.085openalex-snapshot
Towards a more reliable privacy-preserving recommender system
inferredcites →https://doi.org/10.1016/j.knosys.2021.106946openalex-snapshot
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering
inferredcites →https://doi.org/10.1016/j.knosys.2022.108441openalex-snapshot
Federated Neural Collaborative Filtering
inferredcites →https://doi.org/10.1038/s41467-022-29763-xopenalex-snapshot
Communication-efficient federated learning via knowledge distillation
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/10.1080/10670564.2017.1305488openalex-snapshot
Consultative Authoritarianism: The Drafting of China’s Internet Security Law and E-Commerce Law
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2016.0030openalex-snapshot
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
inferredcites →https://doi.org/10.1109/jstsp.2015.2429117openalex-snapshot
Secure Comparison Protocols in the Semi-Honest Model
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1109/mis.2017.30openalex-snapshot
Collaborative Recommendation with Multiclass Preference Context
inferredcites →https://doi.org/10.1109/mis.2020.3014880openalex-snapshot
Secure Federated Matrix Factorization
inferredcites →https://doi.org/10.1109/mis.2020.3017205openalex-snapshot
FedRec: Federated Recommendation With Explicit Feedback
inferredcites →https://doi.org/10.1109/msp.2012.2219653openalex-snapshot
Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation
inferredcites →https://doi.org/10.1109/tac.2008.2009515openalex-snapshot
Distributed Subgradient Methods for Multi-Agent Optimization
inferredcites →https://doi.org/10.1137/130943170openalex-snapshot
On the Convergence of Decentralized Gradient Descent
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
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/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3336191.3371832openalex-snapshot
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
inferredcites →https://doi.org/10.1145/3372408openalex-snapshot
Data Sharing via Differentially Private Coupled Matrix Factorization
inferredcites →https://doi.org/10.1145/3394138openalex-snapshot
Practical Privacy Preserving POI Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401081openalex-snapshot
Meta Matrix Factorization for Federated Rating Predictions
inferredcites →https://doi.org/10.1145/3442381.3449813openalex-snapshot
Graph Embedding for Recommendation against Attribute Inference Attacks
inferredcites →https://doi.org/10.1145/3442381.3449942openalex-snapshot
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce
inferredcites →https://doi.org/10.1145/3460231.3474262openalex-snapshot
Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback
inferredcites →https://doi.org/10.1145/3460231.3478855openalex-snapshot
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing
inferredcites →https://doi.org/10.1145/3506715openalex-snapshot
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data
inferredcites →https://doi.org/10.1609/aaai.v35i5.16546openalex-snapshot
FedRec++: Lossless Federated Recommendation with Explicit Feedback
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.128openalex-snapshot
Privacy-Preserving News Recommendation Model Learning
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.404openalex-snapshot
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.223openalex-snapshot
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.124openalex-snapshot
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
inferredcites →https://doi.org/10.29012/jpc.v1i1.566openalex-snapshot
Secure Multiparty Computation for Privacy-Preserving Data Mining
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-snapshot
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.4018/978-1-59140-557-3.ch189openalex-snapshot
Secure Multiparty Computation for Privacy Preserving Data Mining
inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
inferredcites →https://doi.org/10.5555/1953048.2021068openalex-snapshot
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
inferredcites →https://doi.org/10.69554/tcfn5165openalex-snapshot
Understanding the scope and impact of the California Consumer Privacy Act of 2018
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-92-0263-8_22openalex-snapshot
LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-96-3212-1_2openalex-snapshot
Learning Paradigms in Cross-Device Federated Recommendation
inferred← citeshttps://doi.org/10.1007/s11432-024-4310-7openalex-snapshot
A survey on cross-user federated recommendation
inferred← citeshttps://doi.org/10.1016/j.artint.2023.103996openalex-snapshot
Privacy-preserving graph convolution network for federated item recommendation
inferred← citeshttps://doi.org/10.1016/j.artint.2026.104607openalex-snapshot
Towards efficient federated recommendation with discrete graph convolutional network
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108196openalex-snapshot
LEBFL: Lightweight authentication and efficient consensus for blockchained federated learning in vehicle–road cooperation systems with AIoT
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123460openalex-snapshot
Semi-global sequential recommendation via EM-like federated training
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133314openalex-snapshot
Local differentially private multi-criteria recommender system
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103580openalex-snapshot
HN3S: A Federated AutoEncoder framework for Collaborative Filtering via Hybrid Negative Sampling and Secret Sharing
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110313openalex-snapshot
DistVAE: Distributed Variational Autoencoder for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115545openalex-snapshot
Handling data sparsity and model poisoning attacks in federated sequential recommender systems
inferred← citeshttps://doi.org/10.1016/j.procs.2024.10.001openalex-snapshot
A Research Method based on POI Similarity and Translation Machine Matching Recommendation Algorithm
inferred← citeshttps://doi.org/10.1109/acompa57018.2022.00008openalex-snapshot
Secure Recommender System based on Neural Collaborative Filtering and Federated Learning
inferred← citeshttps://doi.org/10.1109/cnteie66268.2024.00033openalex-snapshot
An Attention-Based Approach to Client-Selected Federated Recommendations
inferred← citeshttps://doi.org/10.1109/dsit61374.2024.10880988openalex-snapshot
DiffGCA: A Diffusion Recommendation Model with Global Attention Mechanism
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448131openalex-snapshot
Towards Resource-Efficient and Secure Federated Multimedia Recommendation
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889647openalex-snapshot
FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning
inferred← citeshttps://doi.org/10.1109/icdm65498.2025.00027openalex-snapshot
Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00360openalex-snapshot
Privacy-enhanced Lossless Federated Recommendation with client-selection
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227362openalex-snapshot
Notice of Removal: Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems
inferred← citeshttps://doi.org/10.1109/jiot.2024.3516515openalex-snapshot
Efficient and Privacy-Preserving Authentication for Federated Learning in Industrial Internet of Things Data Sharing Application
inferred← citeshttps://doi.org/10.1109/tce.2024.3512545openalex-snapshot
A Lightweight Authentication and Privacy-Preserving Aggregation for Blockchain-Enabled Federated Learning in VANETs
inferred← citeshttps://doi.org/10.1109/tce.2025.3533750openalex-snapshot
Secure Aggregation With Logarithmic Overhead for Federated Learning in VANETs
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/tetci.2025.3543313openalex-snapshot
A Cross-Domain Recommendation Model Based on Asymmetric Vertical Federated Learning and Heterogeneous Representation
inferred← citeshttps://doi.org/10.1109/tifs.2023.3324747openalex-snapshot
FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks
inferred← citeshttps://doi.org/10.1109/tifs.2025.3566509openalex-snapshot
Differential-Trust-Mechanism-Based Trade-Off Method Between Privacy and Accuracy in Recommender Systems
inferred← citeshttps://doi.org/10.1109/tifs.2025.3597223openalex-snapshot
FedLG: Lightweight Generic Certificateless Authentication for Trustworthy Federated Learning in VANETs
inferred← citeshttps://doi.org/10.1109/tvt.2025.3626732openalex-snapshot
Fed-EALE: Efficient Authentication With Lightweight Encryption for Federated Learning in Vehicular Ad-Hoc Networks Using SSI
inferred← citeshttps://doi.org/10.1111/exsy.70087openalex-snapshot
Federated Cross‐Domain Recommendation Framework With Graph Neural Network
inferred← citeshttps://doi.org/10.1145/3589334.3645693openalex-snapshot
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
inferred← citeshttps://doi.org/10.1145/3627673.3679818openalex-snapshot
EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3640457.3688112openalex-snapshot
FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations
inferred← citeshttps://doi.org/10.1145/3641287openalex-snapshot
Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph
inferred← citeshttps://doi.org/10.1145/3651168openalex-snapshot
Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits
inferred← citeshttps://doi.org/10.1145/3656165openalex-snapshot
Horizontal Federated Recommender System: A Survey
inferred← citeshttps://doi.org/10.1145/3706419openalex-snapshot
Certified Unlearning for Federated Recommendation
inferred← citeshttps://doi.org/10.1145/3708344openalex-snapshot
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
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/10.1145/3709138openalex-snapshot
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
inferred← citeshttps://doi.org/10.1145/3715320openalex-snapshot
Ownership Verification for Federated Recommendation
inferred← citeshttps://doi.org/10.1145/3749990openalex-snapshot
Cross-User Federated Recommendation Unlearning
inferred← citeshttps://doi.org/10.1145/3774904.3792155openalex-snapshot
FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation
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