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ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_21openalex-snapshot
Group Recommender Systems: Combining Individual Models
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_7openalex-snapshot
Context-Aware Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-4419-6287-4_4openalex-snapshot
A Social Network-Based Recommender System (SNRS)
inferredcites →https://doi.org/10.1007/978-3-030-11289-9_6openalex-snapshot
The Transparency of Big Data, Data Harvesting and Digital Twins
inferredcites →https://doi.org/10.1007/978-3-030-59419-0_26openalex-snapshot
Decentralized Embedding Framework for Large-Scale Networks
inferredcites →https://doi.org/10.1007/978-3-030-63076-8_16openalex-snapshot
Federated Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-319-57959-7openalex-snapshot
The EU General Data Protection Regulation (GDPR)
inferredcites →https://doi.org/10.1007/978-3-319-70694-8_15openalex-snapshot
Homomorphic Encryption for Arithmetic of Approximate Numbers
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_10openalex-snapshot
Content-Based Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_9openalex-snapshot
Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-642-38980-1_7openalex-snapshot
Private Database Queries Using Somewhat Homomorphic Encryption
inferredcites →https://doi.org/10.1007/s00778-021-00700-6openalex-snapshot
Fast-adapting and privacy-preserving federated recommender system
inferredcites →https://doi.org/10.1016/j.ins.2013.01.025openalex-snapshot
A hybrid fuzzy-based personalized recommender system for telecom products/services
inferredcites →https://doi.org/10.1016/j.ins.2015.06.039openalex-snapshot
Recovering the number of clusters in data sets with noise features using feature rescaling factors
inferredcites →https://doi.org/10.1016/j.knosys.2021.106775openalex-snapshot
A survey on federated learning
inferredcites →https://doi.org/10.1088/1757-899x/1231/1/011001openalex-snapshot
IOP Conference Series: Materials Science and Engineering
inferredcites →https://doi.org/10.1088/issn.1742-6596openalex-snapshot
Journal of Physics: Conference Series
inferredcites →https://doi.org/10.1093/comjnl/bxab025openalex-snapshot
A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems
inferredcites →https://doi.org/10.1093/jpepsy/jsq022openalex-snapshot
Time-Window Sequential Analysis: An Introduction for Pediatric Psychologists
inferredcites →https://doi.org/10.1109/icdm.2001.989492openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/mis.2020.2988525openalex-snapshot
A Secure Federated Transfer Learning Framework
inferredcites →https://doi.org/10.1109/mis.2020.3014880openalex-snapshot
Secure Federated Matrix Factorization
inferredcites →https://doi.org/10.1109/mis.2021.3082561openalex-snapshot
SecureBoost: A Lossless Federated Learning Framework
inferredcites →https://doi.org/10.1109/sp.2017.41openalex-snapshot
Membership Inference Attacks Against Machine Learning Models
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/tit.2022.3192506openalex-snapshot
An Efficient Framework for Clustered Federated Learning
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1109/tkde.2017.2750683openalex-snapshot
Computing Crowd Consensus with Partial Agreement
inferredcites →https://doi.org/10.1109/tnnls.2019.2944481openalex-snapshot
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot
Using collaborative filtering to weave an information tapestry
inferredcites →https://doi.org/10.1145/1568318.1568324openalex-snapshot
On lattices, learning with errors, random linear codes, and cryptography
inferredcites →https://doi.org/10.1145/1572532openalex-snapshot
Proceedings of the 5th Symposium on Usable Privacy and Security
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2556195openalex-snapshot
Proceedings of the 7th ACM international conference on Web search and data mining
inferredcites →https://doi.org/10.1145/2633600openalex-snapshot
(Leveled) Fully Homomorphic Encryption without Bootstrapping
inferredcites →https://doi.org/10.1145/2959100.2959167openalex-snapshot
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3109859.3109896openalex-snapshot
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3209978.3210017openalex-snapshot
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
inferredcites →https://doi.org/10.1145/3292500.3330984openalex-snapshot
Hierarchical Gating Networks for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3340531.3411954openalex-snapshot
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
inferredcites →https://doi.org/10.1145/3372224.3419188openalex-snapshot
Billion-scale federated learning on mobile clients
inferredcites →https://doi.org/10.1145/3372297openalex-snapshot
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3382764openalex-snapshot
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3383313.3411528openalex-snapshot
A Federated Recommender System for Online Services
inferredcites →https://doi.org/10.1145/3394486.3403176openalex-snapshot
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems
inferredcites →https://doi.org/10.1145/3397271.3401081openalex-snapshot
Meta Matrix Factorization for Federated Rating Predictions
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3447548.3467220openalex-snapshot
Learning Elastic Embeddings for Customizing On-Device Recommenders
inferredcites →https://doi.org/10.1145/3459637.3482448openalex-snapshot
Lightweight Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.1609/aaai.v34i01.5353openalex-snapshot
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
inferredcites →https://doi.org/10.18653/v1/p19-1openalex-snapshot
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.2307/25148715openalex-snapshot
The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization1
inferredcites →https://doi.org/10.4156/jcit.vol5.issue9.12openalex-snapshot
Relevance Vector Ranking for Information Retrieval
inferredcites →https://doi.org/10.48550/arxiv.1610.05492openalex-snapshot
Federated Learning: Strategies for Improving Communication Efficiency
inferredcites →https://doi.org/10.48550/arxiv.1802.07876openalex-snapshot
Federated Meta-Learning with Fast Convergence and Efficient Communication
inferredcites →https://doi.org/10.48550/arxiv.1901.09888openalex-snapshot
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
inferredcites →https://doi.org/10.48550/arxiv.1911.02469openalex-snapshot
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
inferredcites →https://doi.org/10.48550/arxiv.2011.01754openalex-snapshot
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
inferredcites →https://doi.org/10.48550/arxiv.2109.00675openalex-snapshot
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.2110.11619openalex-snapshot
DistFL: Distribution-aware Federated Learning for Mobile Scenarios
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-51167-7_22openalex-snapshot
Challenges and Advancement in Federated Recommendation System: A Comprehensive Review
inferred← citeshttps://doi.org/10.1007/978-3-031-80949-1_12openalex-snapshot
Federated Learning and Blockchain for Privacy-Enhanced Recommender Systems: Research Challenges and Applications
inferred← citeshttps://doi.org/10.1007/978-3-032-02312-4_15openalex-snapshot
A Review of Advances in Adaptive Personalized Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-08486-6_21openalex-snapshot
I Don’t Know Who You Are, but I Know What You Need: Guidelines for Federated Learning in Educational Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-11957-5_4openalex-snapshot
Optimized Design of Intelligent Recommendation Systems in Digital Library Resource Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-032-13509-4_16openalex-snapshot
Exploring the Evolution of Recommender Systems Through Social Network Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-32483-2_18openalex-snapshot
A Comparative Survey of Supervised and Unsupervised Learning Methods for User-Based Product Recommendations in E-Commerce
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Reading Behavior-Driven User Portrait Construction and Knowledge Graph Embedding Method
inferred← citeshttps://doi.org/10.1007/978-981-95-2680-2_1openalex-snapshot
Privacy and Security in Recommender Systems: A Comprehensive Review
inferred← citeshttps://doi.org/10.1007/978-981-95-8876-3_31openalex-snapshot
Personalized Statistical Algorithm and Application Based on User Interest Preference
inferred← citeshttps://doi.org/10.1007/978-981-95-8876-3_66openalex-snapshot
Recommendation System Optimization and Performance Evaluation Based on Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-0814-0_24openalex-snapshot
Query Exploration Based on Knowledge Reasoning
inferred← citeshttps://doi.org/10.1007/978-981-96-3212-1_2openalex-snapshot
Learning Paradigms in Cross-Device Federated Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-96-6400-9_22openalex-snapshot
Poisoning Attacks Against Security-Aware Federated Recommendation System
inferred← citeshttps://doi.org/10.1007/s00521-024-10828-5openalex-snapshot
Revisiting recommender systems: an investigative survey
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Federated cross-domain recommendation system based on bias eliminator and personalized extractor
inferred← citeshttps://doi.org/10.1007/s10115-025-02433-2openalex-snapshot
Efficient federated recommender system based on Slimify Module and Feature Sharpening Module
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Approximate homomorphic encryption based privacy-preserving machine learning: a survey
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An efficient privacy-preserving recommender system based on elliptic curve
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SDDP: sensitive data detection method for user-controlled data pricing
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Enhancing federated recommendations with personalized contrastive learning on graph neural networks
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Analysis of K-12 teachers’ demand characteristics for digital educational resource services from the perspective of adaptive feedback: based on the analysis of KANO model
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Addressing data imbalance for federated recommender systems: a rebalancing framework with gradient alignment regularization
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Robust federated contrastive recommender system against targeted model poisoning attack
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A survey on cross-user federated recommendation
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On-Device Recommender Systems: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1007/s42979-025-03919-0openalex-snapshot
Adaptive Attention Mechanisms Based Multicriteria Recommender Systems for Improved User Preference Discovery
inferred← citeshttps://doi.org/10.1007/s44163-026-01977-8openalex-snapshot
Deep knowledge tracking and course recommendation model for online education learners
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Trust-Aware Federated User Representation Learning for Privacy-Preserving and Carbon-Optimized Personalized Recommendation in Large-Scale Social Platforms
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DG$$^{3}$$PR: dynamic global graph guided price-aware recommendation
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From accuracy to approximation: A survey on approximate homomorphic encryption and its applications
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Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences
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Model aggregation techniques in federated learning: A comprehensive survey
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Dual-personalized federated fast convergence model for efficient service recommendation
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Communication optimization techniques in Personalized Federated Learning: Applications, challenges and future directions
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Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning
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Federated recommender systems as distributed knowledge fusion: Techniques, challenges, and future directions
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Temporal modulation with anchor routing for heterogeneous federated POI recommendation
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Retrieval-enhanced, Adaptively Collaborative, and Temporal-aware user behavior comprehension for LLM-based sequential recommendation
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Consistency alignment with adaptive aggregation to mitigate model drift in federated learning for the Internet of Medical Things
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Adaptive Personalized Recommendation Systems: A systematic Review
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Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework
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A review of deep learning in dentistry
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Eliminating Information Cocoons: Product Diversification Recommendation Based on User Clustering and Hybrid Reranking
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KGFedRS: Knowledge Graph enhanced Federated Recommender System
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Heterogeneous decentralised machine unlearning with seed model distillation
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Application of collaborative filtering algorithm with improved trust degree in clothing personalization and customization designs
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Poisoning Attacks Against Federated Recommender Systems and the Defenses: A Survey
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FDRS: Federated Diversified Recommender System Based on Heterogeneous Graph Convolutional Network
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Application of Transformer-Based Multimodal Data Fusion Algorithm in Intelligent Recommendation System
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Towards Resource-Efficient and Secure Federated Multimedia Recommendation
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Query Sub-intent Mining by Incorporating Search Results with Query Logs for Information Retrieval
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Straggler-Aware Federated Learning Based on Adaptive Clustering to Support Edge Intelligence
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HeteFedRec: Federated Recommender Systems with Model Heterogeneity
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RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning
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Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation
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CustomFair: A Customized Fairness Method for Federated Recommender Systems in Social Internet of Things
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Blockchain Empowered Secure Collaboration for Swarm Robots: Storage and Computation
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A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems
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Personalized Federated Learning-Based Distributed Model Predictive Control With Predictive Error Compensation for Nonlinear Networked Systems
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Novel Distributed Multimedia Recommendation Systems Using Personalized Information
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Maintaining User Security in Consumer Electronics-Based Online Recommender Systems Using Federated Learning
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MMFashion+: Multimodal Federated Learning for Personalized Clothing Recommendation
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Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks
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Personalized Federated Contrastive Learning for Recommendation
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Causal Inference-Based Collaborative Membership Inference Attack on Federated Recommendation
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Towards Adaptive Personalized Federated Meta-Learning Recommendation
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FedSlate: A Federated Deep Reinforcement Learning Recommender System
inferred← citeshttps://doi.org/10.1109/tifs.2025.3581026openalex-snapshot
Silent Penetrator: Breaching Cross-Domain Federated Fine-Tuning via Feature Shift-Induced Backdoor
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Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization
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DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models
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A Federated Recommendation System Framework Based on Variational Autoencoder With Mixture of Experts
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A Survey on Federated Recommendation Systems
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PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding
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Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey
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Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation
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Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1
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When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
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/10.1145/3604776openalex-snapshot
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2
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Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport
inferred← citeshttps://doi.org/10.1145/3630005openalex-snapshot
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures
inferred← citeshttps://doi.org/10.1145/3634737.3657019openalex-snapshot
VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models
inferred← citeshttps://doi.org/10.1145/3637528.3671743openalex-snapshot
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI 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/10.1145/3670412openalex-snapshot
DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models
inferred← citeshttps://doi.org/10.1145/3678182openalex-snapshot
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers
inferred← citeshttps://doi.org/10.1145/3682076openalex-snapshot
FedRL: A Reinforcement Learning Federated Recommender System for Efficient Communication Using Reinforcement Selector and Hypernet Generator
inferred← citeshttps://doi.org/10.1145/3694783openalex-snapshot
Distributed Recommendation Systems: Survey and Research Directions
inferred← citeshttps://doi.org/10.1145/3704267openalex-snapshot
Efficient Federated Recommender System with Adaptive Model Pruning and Momentum-based Batch Adjustment
inferred← citeshttps://doi.org/10.1145/3706112openalex-snapshot
Defending Federated Recommender Systems against Untargeted Attacks: A Contribution-Aware Robust Aggregation Scheme
inferred← citeshttps://doi.org/10.1145/3706419openalex-snapshot
Certified Unlearning for Federated Recommendation
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/10.1145/3728366openalex-snapshot
Capturing Invariance on Multi-Party Data for Decentralized Credit Scoring
inferred← citeshttps://doi.org/10.1145/3745025openalex-snapshot
Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure
inferred← citeshttps://doi.org/10.1145/3757059openalex-snapshot
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation
inferred← citeshttps://doi.org/10.1145/3770855.3818008openalex-snapshot
CoGen: A Two-Stage Unified Multi-modal Framework for Bundle Construction via Discrete Semantics Transfer
inferred← citeshttps://doi.org/10.1145/3779442openalex-snapshot
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation
inferred← citeshttps://doi.org/10.1145/3789267openalex-snapshot
EffiPOI: A Product Quantization Framework Based on Knowledge Distillation for Efficient POI Recommendations
inferred← citeshttps://doi.org/10.1177/01655515261461741openalex-snapshot
From connectivity to insight: A graph neural network–large language model synergy for scholar–topic recommendation
inferred← citeshttps://doi.org/10.1371/journal.pone.0319954openalex-snapshot
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2439540/v1openalex-snapshot
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation
inferred← citeshttps://doi.org/10.2174/0126662558350372241226071208openalex-snapshot
A Study on Learning Resources Recommendation based on Multi-Domain Fusion Network
inferred← citeshttps://doi.org/10.3390/app13106201openalex-snapshot
A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems
inferred← citeshttps://doi.org/10.3390/app15052481openalex-snapshot
Personalized Federated Learning with Progressive Local Training Strategy and Lightweight Classifier
inferred← citeshttps://doi.org/10.3390/electronics14224454openalex-snapshot
Clustered Federated Learning with Adaptive Similarity for Non-IID Data
inferred← citeshttps://doi.org/10.54254/2755-2721/57/20241333openalex-snapshot
Enhancing language acquisition through personalized learning: The role of collaborative filtering and recommender systems in TESOL
inferred← citeshttps://doi.org/10.59287/as-proceedings.440openalex-snapshot
Untangling the Role of Data Processing in Enhancing Recommender Systems Performance
inferred← citeshttps://doi.org/10.7717/peerj-cs.2589openalex-snapshot
A novel group tour trip recommender model for personalized travel systems
inferred← citeshttps://doi.org/10.7717/peerj-cs.3157openalex-snapshot
Intelligent educational systems based on adaptive learning algorithms and multimodal behavior modeling
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