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The existing papers about federated recommendation (FedRec)

This repository is maintained for collecting and showing the current research progress of FedRec.

<strong>Last Update: Oct. 17th 2023</strong>.

Summary

Works are sorted by time.

Conference proceedings

TitleTimePublication venue
The More the Merrier - Federated Learning from Local Sphere RecommendationsSep. 2017CD-MAKE'17
Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated LearningSep. 2019MLKDD-ECML PKDD'19
A Simple and Efficient Federated Recommender SystemDec. 2019BDCAT'19
Federated Recommendation System via Differential PrivacyMay. 2020ISIT'20
Meta Matrix Factorization for Federated Rating PredictionsJun. 2020SIGIR'20
DPLCF: Differentially Private Local Collaborative FilteringJun. 2020SIGIR'20
Federated CF: Privacy-Preserving Collaborative Filtering Cross Multiple DatasetsJun. 2020ICC'20
FedFast: Going beyond Average for Faster Training of Federated Recommender SystemsAug. 2020KDD'20
Secure Efficient Federated KNN for Recommendation SystemsAug. 2020ICNC-FSKD‘20
Secure Social Recommendation based on Secret SharingAug. 2020ECAI‘20
A Federated Recommender System for Online ServicesSep. 2020RecSys‘20
Privacy-Preserving News Recommendation Model LearningOct. 2020EMNLP'20
FedRec++: Lossless Federated Recommendation with Explicit FeedbackDec. 2020AAAI'21
Federated Multi-Armed BanditsDec. 2020AAAI'21
Personalized Recommendation Algorithm for Mobile Based on Federated Matrix FactorizationMar. 2021CDMMS'20
FedeRank: User Controlled Feedback with Federated Recommender SystemsMar. 2021ECIR 2021
Federated Multi-armed Bandits with PersonalizationApr. 2021AISTATS'21
Vertical Federated Learning for Higher-Order Factorization MachinesMay 2021PAKDD'21
Demystifying Model Averaging for Communication-Efficient Federated Matrix FactorizationJun. 2021ICASSP'21
A Payload Optimization Method for Federated Recommender SystemsSep. 2021RecSys‘21
Stronger Privacy for Federated Collaborative Filtering With Implicit FeedbackSep. 2021RecSys‘21
FR-FMSS: Federated Recommendation via Fake Marks and Secret SharingSep. 2021RecSys‘21
Federated Recommender Systems with Learning to RankSep. 2021SEBD‘21
A vertical federation recommendation method based on clustering and latent factor modelSep. 2021EIECS'21
Federated Learning Application on Telecommunication-Joint Healthcare RecommendationOct. 2021ICCT‘21
Exploiting Data Sparsity in Secure Cross-Platform Social RecommendationDec. 2021NeurIPS'21
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item PromotionFeb. 2022WSDM'22
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain RecommendationApr. 2022WWW'22
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard SamplingAug. 2022KDD'22
Fairness-aware Federated Matrix FactorizationSep. 2022RecSys'22
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data HeterogeneitySep. 2022RecSys'22
PrivateRec: Differentially Private Model Training and Online Serving for Federated News RecommendationAug. 2023KDD'23
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected RecommendationAug. 2023KDD'23
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain RecommendationAug. 2023IJCAI'23
Dual Personalization on Federated RecommendationAug. 2023IJCAI'23

Journal articles

TitleTimePublication venue
A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender SystemsAug. 2019TKDE
FedRec: Federated Recommendation with Explicit FeedbackAug. 2020IEEE Intelligent Systems
Secure Federated Matrix FactorizationAug. 2020IEEE Intelligent Systems
Differentially private locality sensitive hashing based federated recommender systemFeb. 2021Concurrency and Computation: Practice and Experience
Personalized Recommendation Algorithm for Mobile Based on Federated Matrix FactorizationMar. 2021Journal of Physics: Conference Series
A Federated Learning Approach for Privacy Protection in Context-Aware Recommender SystemsApr. 2021The Computer Journal
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement LearningJun. 2021IEEE Access
Federated matrix factorization for privacy-preserving recommender systemsJul. 2021Applied Soft Computing
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning FrameworkNov. 2021TKDE
Efficient Federated Matrix Factorization against Inference AttacksMay. 2022TIST
FedCDR: Privacy-preserving federated cross-domain recommendationMay. 2022TIST
Federated recommenders: methods, challenges and futureMay. 2022Cluster Computing
FedRec: Trusted rank-based recommender scheme for service provisioning in federated cloud environmentJun. 2022Digital Communications and Networks
Privacy-Preserving Hierarchical Federated Recommendation SystemsFeb. 2023IEEE Communications Letters
Privacy-preserving Graph Convolution Network for Federated Item RecommendationNov. 2023Artificial Intelligence

Book chapters

TitleTimePublication venue
Federated Recommendation SystemsDec. 2020FLPI'20

Workshop papers

TitleTimePublication venue
Secure Federated Matrix FactorizationJun. 2019Fl-IJCAI'19
Privacy Threats Against Federated Matrix FactorizationJul. 2020FL-IJCAI'20

arXiv e-prints

TitleTimePublication venue
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation SystemJan. 2019arXiv
Federating Recommendations Using Differentially Private PrototypesMar. 2020arXiv
Federated Multi-view Matrix Factorization for Personalized RecommendationsApr. 2020arXiv
Robust Federated Recommendation SystemJun. 2020arXiv
A Federated Multi-View Deep Learning Framework for Privacy-Preserving RecommendationsAug. 2020arXiv
Shared MF: A privacy-preserving recommendation systemAug. 2020arXiv
A Novel Privacy-Preserved Recommender System Framework based on Federated LearningNov. 2020arXiv
Fast-adapting and Privacy-preserving Federated Recommender SystemApr. 2021arXiv
Stronger Privacy for Federated Collaborative Filtering with Implicit FeedbackMay. 2021arXiv
Federated Neural Collaborative FilteringJun. 2021arXiv
Practical and Secure Federated Recommendation with Personalized MasksAug. 2021arXiv
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item PromotionOct. 2021arXiv
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge DistillationMay. 2022arXiv
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse DataDec. 2022arXiv
IFedRec: Item-Guided Federated Aggregation for Cold-Start RecommendationMay. 2023arXiv
Graph-guided Personalization for Federated RecommendationMay. 2023arXiv
<!-- ## Details I will briefly introduce each paper one by one. The freshest is on the top. *** ### Federated Recommendation Systems #### Affiliations: WeBank, Hong Kong University of Science and Technology The paper is an overview of the existing papers of FedRec. Besides, it also provides a categorization of FedRec and concludes the challenges when building a federated recommender system. *** ### Privacy-Preserving News Recommendation Model Learning #### Affiliations: Tsinghua University, Microsoft Research Asia -->