viniaraujoo / FedRecPapers

A project for collecting and showing the current research progress of FedRec

The existing papers about federated recommendation (FedRec)

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

Last Update: Jul. 22nd 2021.

Summary

Works are sorted by time.

Conference proceedings

Title	Time	Publication venue
The More the Merrier - Federated Learning from Local Sphere Recommendations	Sep. 2017	CD-MAKE'17
Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning	Sep. 2019	MLKDD-ECML PKDD'19
A Simple and Efficient Federated Recommender System	Dec. 2019	BDCAT'19
Federated Recommendation System via Differential Privacy	May. 2020	ISIT'20
Meta Matrix Factorization for Federated Rating Predictions	Jun. 2020	SIGIR'20
DPLCF: Differentially Private Local Collaborative Filtering	Jun. 2020	SIGIR'20
Federated CF: Privacy-Preserving Collaborative Filtering Cross Multiple Datasets	Jun. 2020	ICC'20
FedFast: Going beyond Average for Faster Training of Federated Recommender Systems	Aug. 2020	KDD'20
Secure Efficient Federated KNN for Recommendation Systems	Aug. 2020	ICNC-FSKD‘20
A Federated Recommender System for Online Services	Sep. 2020	RecSys‘20
Privacy-Preserving News Recommendation Model Learning	Oct. 2020	EMNLP'20
FedRec++: Lossless Federated Recommendation with Explicit Feedback	Dec. 2020	AAAI'21
Federated Multi-Armed Bandits	Dec. 2020	AAAI'21
Personalized Recommendation Algorithm for Mobile Based on Federated Matrix Factorization	Mar. 2021	CDMMS'20
Federated Multi-armed Bandits with Personalization	Apr. 2021	AISTATS'21
Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization	Jun. 2021	ICASSP'21

Journal articles

Title	Time	Publication venue
A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems	Aug. 2019	TKDE
FedRec: Federated Recommendation with Explicit Feedback	Aug. 2020	IEEE Intelligent Systems
Secure Federated Matrix Factorization	Aug. 2020	IEEE Intelligent Systems
Differentially private locality sensitive hashing based federated recommender system	Feb. 2021	Concurrency and Computation: Practice and Experience
Personalized Recommendation Algorithm for Mobile Based on Federated Matrix Factorization	Mar. 2021	Journal of Physics: Conference Series
A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems	Apr. 2021	The Computer Journal
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning	Jun. 2021	IEEE Access
Federated matrix factorization for privacy-preserving recommender systems	Jul. 2021	Applied Soft Computing

Book chapters

Title	Time	Publication venue
Federated Recommendation Systems	Dec. 2020	FLPI'20

Workshop papers

Title	Time	Publication venue
Secure Federated Matrix Factorization	Jun. 2019	Fl-IJCAI'19
Privacy Threats Against Federated Matrix Factorization	Jul. 2020	FL-IJCAI'20

arXiv e-prints

Title	Time	Publication venue
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System	Jan. 2019	arXiv
Federating Recommendations Using Differentially Private Prototypes	Mar. 2020	arXiv
Federated Multi-view Matrix Factorization for Personalized Recommendations	Apr. 2020	arXiv
Robust Federated Recommendation System	Jun. 2020	arXiv
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations	Aug. 2020	arXiv
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning	Nov. 2020	arXiv
Fast-adapting and Privacy-preserving Federated Recommender System	Apr. 2021	arXiv
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback	May. 2021	arXiv
Federated Neural Collaborative Filtering	Jun. 2021	arXiv