FederatedRS

A collection of research papers on Federated Recommender Systems.

Publication Years

2024

Journal Articles

Title	Venue	Code
Towards fair and personalized federated recommendation	Pattern Recognition
Adaptive Clustering Based Personalized Federated Learning Framework for Next POI Recommendation With Location Noise	IEEE Transactions on Knowledge and Data Engineering
DCI-PFGL: Decentralized Cross-Institutional Personalized Federated Graph Learning for IoT Service Recommendation	IEEE Internet of Things Journal
FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem	IEEE Transactions on Knowledge and Data Engineering
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering	ACM Transactions on Information Systems
Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits	ACM Transactions on Recommender Systems
Horizontal Federated Recommender System: A Survey	ACM Computing Surveys
A Survey on Federated Recommendation Systems	IEEE Transactions on Neural Networks and Learning Systems
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems	IEEE Internet of Things Journal
HN3S: A Federated AutoEncoder framework for Collaborative Filtering via Hybrid Negative Sampling and Secret Sharing	Information Processing & Management
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks	IEEE Transactions on Knowledge and Data Engineering

Conference and Workshop Papers

Title	Venue	Code
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients	IJCAI
Hide Your Model: A Parameter Transmission-free Federated Recommender System	ICDE
HeteFedRec: Federated Recommender Systems with Model Heterogeneity	ICDE
Federated Recommendation with Additive Personalization	ICLR
Towards Efficient Communication Federated Recommendation System via Low-rank Training	WWW
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation	WWW
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation	WWW
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions	WWW
Poisoning Federated Recommender Systems with Fake Users	WWW
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation	WWW
Towards Resource-Efficient and Secure Federated Multimedia Recommendation	ICASSP
Federated Conversational Recommender Systems	ECIR
User Consented Federated Recommender System Against Personalized Attribute Inference Attack	WSDM
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation	AAAI
FEDRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement	GPC
Efficient and Reliable Federated Recommendation System in Temporal Scenarios	GPC

Informal Publications

Title	Venue	Code
Robust Federated Contrastive Recommender System against Model Poisoning Attack	arxiv
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling	arxiv
Federated Recommendation via Hybrid Retrieval Augmented Generation	arxiv
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks	arxiv
LLM-based Federated Recommendation	arxiv
TransFR: Transferable Federated Recommendation with Pre-trained Language Models	arxiv

2023

Journal Articles

Title	Venue	Code
A Privacy Preserving System for Movie Recommendations using Federated Learning	ACM Transactions on Recommender Systems
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures	ACM Transactions on Information Systems
Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting	Information Sciences
Federated Learning-based Personalized Recommendation Systems: An Overview on Security and Privacy Challenges	IEEE Transactions on Consumer Electronics
HFSA: A Semi-Asynchronous Hierarchical Federated Recommendation System in Smart City	IEEE Internet of Things Journal
Federated Matrix Factorization Recommendation Based on Secret Sharing for Privacy Preserving	IEEE Transactions on Computational Social Systems
Privacy-preserving graph convolution network for federated item recommendation	Artificial Intelligence
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation	IEEE Transactions on Services Computing
Federated learning based driver recommendation for next generation transportation system	Expert Systems with Applications
Efficient federated item similarity model for privacy-preserving recommendation	Information Processing & Management
Differentially private locality sensitive hashing based federated recommender system	Concurrency and Computation: Practice and Experience
FedDeepFM: A Factorization Machine-Based Neural Network for Recommendation in Federated Learning	IEEE Access
Personalized federated recommendation system with historical parameter clustering	Journal of Ambient Intelligence and Humanized Computing
Enhancing Recommendation Capabilities Using Multi-Head Attention-Based Federated Knowledge Distillation	IEEE Access
Randomization is all you need: A privacy-preserving federated learning framework for news recommendation	Information Sciences
Privacy-preserving federated learning framework in multimedia courses recommendation	Wireless Networks
Privacy-Preserving Hierarchical Federated Recommendation Systems	IEEE Communications Letters
FedRec: Trusted rank-based recommender scheme for service provisioning in federated cloud environment	Digital Communications and Networks
A federated collaborative recommendation model for privacy-preserving distributed recommender applications based on microservice framework	Journal of Parallel and Distributed Computing
A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model	Journal of Cloud Computing
A verifiable and privacy-preserving framework for federated recommendation system	Journal of Ambient Intelligence and Humanized Computing
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework	IEEE Transactions on Knowledge and Data Engineering
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence	Information Sciences
FGC: GCN-Based Federated Learning Approach for Trust Industrial Service Recommendation	IEEE Transactions on Industrial Informatics
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	ACM Transactions on Information Systems
Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems	IEEE Transactions on Artificial Intelligence
Federated Learning-Based Cross-Enterprise Recommendation With Graph Neural Networks	IEEE Transactions on Industrial Informatics

Conference and Workshop Papers

Title	Venue	Code
Privacy-enhanced Lossless Federated Recommendation with client-selection	ICPADS
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking	NeurIPS
Turning Privacy-preserving Mechanisms against Federated Learning	CCS
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach	ICDMW
FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems	Allerton
Decentralized Graph Neural Network for Privacy-Preserving Recommendation	CIKM
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering	CIKM
Cluster-driven GNN-based Federated Recommendation with Biased Message Dropout	ICME
Vertical Federated Graph Neural Network for Recommender System	ICML
Dual Personalization on Federated Recommendation	IJCAI
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation	IJCAI
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation	KDD
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation	KDD
UA-FedRec: Untargeted Attack on Federated News Recommendation	KDD
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense	AAAI
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation	AAAI
MAFD: A Federated Distillation Approach with Multi-head Attention for Recommendation Tasks	SAC
Personalized Federated Domain Adaptation for Item-to-Item Recommendation	UAI
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation	IJCNN
FedRule: Federated Rule Recommendation System with Graph Neural Networks	IOTDI
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures	SIGIR
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity	SIGIR
Combining Autoencoder with Adaptive Differential Privacy for Federated Collaborative Filtering	DASFAA
A New Reconstruction Attack: User Latent Vector Leakage in Federated Recommendation	DASFAA
Federated Unlearning for On-Device Recommendation	WSDM
Semi-decentralized Federated Ego Graph Learning for Recommendation	WWW
Interaction-level Membership Inference Attack Against Federated Recommender Systems	WWW

Informal Publications

Title	Venue	Code
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces	arxiv
FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems	arxiv
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning	arxiv
GNN4FR: A Lossless GNN-based Federated Recommendation Framework	arxiv
Community Detection Attack against Collaborative Learning-based Recommender Systems	arxiv
Graph-guided Personalization for Federated Recommendation	arxiv
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training	arxiv
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction	arxiv

2022

Journal Articles

Title	Venue	Code
A federated graph neural network framework for privacy-preserving personalization	Nature Communications
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization	ACM Transactions on Information Systems
Federated recommenders: methods, challenges and future	Cluster Computing
Federated low-rank tensor projections for sequential recommendation	Knowledge-Based Systems
Federated Social Recommendation with Graph Neural Network	ACM Transactions on Intelligent Systems and Technology
Efficient Federated Matrix Factorization Against Inference Attacks	ACM Transactions on Intelligent Systems and Technology
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing	ACM Transactions on Information Systems
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning	Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization	Knowledge-Based Systems
FedCDR: Privacy-preserving federated cross-domain recommendation	Digital Communications and Networks
Communication-efficient federated recommendation model based on many-objective evolutionary algorithm	Expert Systems with Applications
Recommendations in Smart Devices Using Federated Tensor Learning	IEEE Internet of Things Journal
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems	Information Sciences
A Secure Cloudlet-Based Charging Station Recommendation for Electric Vehicles Empowered by Federated Learning	IEEE Transactions on Industrial Informatics
User-controlled federated matrix factorization for recommender systems	Journal of Intelligent Information Systems
Federated Neural Collaborative Filtering	Knowledge-Based Systems
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering	IEEE Transactions on Signal Processing
Federating Recommendations Using Differentially Private Prototypes	Pattern Recognition
Towards Privacy-Preserving and Verifiable Federated Matrix Factorization	Knowledge-Based Systems

Conference and Workshop Papers

Title	Venue	Code
Practical and Secure Federated Recommendation with Personalized Mask	FL@IJCAI 2022
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation	ICICSP
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders	ACSSC
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings	FL-NeurIPS'22 Workshop
FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction	CIKM
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation	CIKM
Cali3F: Calibrated Fast Fair Federated Recommendation System	IJCNN
Ranking-based Federated POI Recommendation with Geographic Effect	IJCNN
FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System	IJCNN
Dual-Contrastive for Federated Social Recommendation	IJCNN
A Privacy-Preserving Oriented Service Recommendation Approach based on Personal Data Cloud and Federated Learning	ICWS
Fairness-aware Federated Matrix Factorization	RecSys
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity	RecSys
FLOR: A Federated Learning-based Music Recommendation Engine	ICCCN
Towards Better Personalization: A Meta-Learning Approach for Federated Recommender Systems	KSEM
Fourier Enhanced MLP with Adaptive Model Pruning for Efficient Federated Recommendation	KSEM
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy	KSEM
Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios	IJCAI
Memory Efficient Federated Recommendation Model	ICSC
FedRecAttack: Model Poisoning Attack to Federated Recommendation	ICDE
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data	KDD
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling	KDD
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion	WSDM

Informal Publications

Title	Venue	Code
Vertical Federated Linear Contextual Bandits	arxiv
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction	arxiv
Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGX	arxiv
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR	arxiv
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning	arxiv
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation	arxiv
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation	arxiv
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation	arxiv

2021

Journal Articles

Title	Venue	Code
FedRec: Federated Recommendation With Explicit Feedback	IEEE Intelligent Systems
Secure Federated Matrix Factorization	IEEE Intelligent Systems
A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems	The Computer Journal
Fast-adapting and Privacy-preserving Federated Recommender System	VLDB Journal
A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems	IEEE TKDE
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering	Knowledge-Based Systems
PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning	Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Federated matrix factorization for privacy-preserving recommender systems	Applied Soft Computing

Conference and Workshop Papers

Title	Venue	Code
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation	EMNLP
A Federated Recommendation System Based on Local Differential Privacy Clustering	SmartWorld/SCALCOM/ UIC/ATC/IOP/SCI
FedRec++: Lossless Federated Recommendation with Explicit Feedback	AAAI
Federated Recommender Systems with Learning to Rank	SEBD
Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback	RecSys
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing	RecSys
Horizontal Cross-Silo Federated Recommender Systems	RecSys
A vertical federation recommendation method based on clustering and latent factor model	EIECS
Learning Federated Representations and Recommendations with Limited Negatives	arxiv
FMFParking: Federated Matrix Factorization For Parking Lot Recommendation	BigDataService
A Payload Optimization Method for Federated Recommender Systems	RecSys
FedCT: Federated Collaborative Transfer for Recommendation	SIGIR
Federated Variational Autoencoder for Collaborative Filtering	IJCNN
Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization	ICASSP
POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation	INFOCOM WKSHPS
Hierarchical Personalized Federated Learning for User Modeling	WWW
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce	WWW
How to put users in control of their data in federated top-N recommendation with learning to rank	SAC
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation	ICML workshop
FedeRank: User Controlled Feedback with Federated Recommender Systems	ECIR
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints	ECIR
A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning	ICSIM

2020

Title	Venue	Code
A trusted recommendation scheme for privacy protection based on federated learning	CCF Transactions on Networking
Privacy-Aware Federated Learning for Page Recommendation	BigData
Vehicular Edge Computing Based Driver Recommendation System Using Federated Learning	MASS
Privacy-Preserving News Recommendation Model Learning	EMNLP-Findings
A Federated Recommender System for Online Services	RecSys
On the Detection of Shilling Attacks in Federated Collaborative Filtering	SRDS
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations	arxiv
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems	KDD
Privacy Threats Against Federated Matrix Factorization	arxiv
Robust Federated Recommendation System	arxiv
Meta Matrix Factorization for Federated Rating Predictions	SIGIR
Federated CF: Privacy-Preserving Collaborative Filtering Cross Multiple Datasets	ICC
Federated Recommendation System via Differential Privacy	ISIT
A Locality Sensitive Hashing Based Approach for Federated Recommender System	CCGRID
Federated Multi-view Matrix Factorization for Personalized Recommendations	ECML/PKDD
Practical Privacy Preserving POI Recommendation	ACM TIST
Federated Recommendation Systems	Federated Learning

2019

Title	Venue	Code
Federated Meta-Learning with Fast Convergence and Efficient Communication	arxiv
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System	arxiv
A Simple and Efficient Federated Recommender System	BDCAT