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https://github.com/AustinNeverPee/FedRecPapers

A project for collecting and showing the current research progress of FedRec
https://github.com/AustinNeverPee/FedRecPapers
Last synced: about 2 months ago
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A project for collecting and showing the current research progress of FedRec
Host: GitHub
URL: https://github.com/AustinNeverPee/FedRecPapers
Owner: AustinNeverPee
Created: 2020-12-04T10:55:22.000Z (almost 4 years ago)
Default Branch: main
Last Pushed: 2023-10-17T05:59:41.000Z (11 months ago)
Last Synced: 2024-07-01T15:18:51.122Z (3 months ago)
Homepage:
Size: 113 KB
Stars: 133
Watchers: 6
Forks: 11
Open Issues: 0
Metadata Files:
- Readme: README.md
Awesome Lists containing this project

README

        # The existing papers about federated recommendation (FedRec)

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

Last Update: Oct. 17th 2023.

## Summary

Works are sorted by time.

### Conference proceedings

| Title | Time | Publication venue |

| --- | --- | --- |

| [The More the Merrier - Federated Learning from Local Sphere Recommendations](https://publications.sba-research.org/publications/201708%20-%20BMalle%20-%20The%20More%20the%20Merrier.pdf) | Sep. 2017 | CD-MAKE'17 |

| [Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning](https://dmle.iais.fraunhofer.de/papers/hegedus2019decentralized.pdf) | Sep. 2019 | MLKDD-ECML PKDD'19 |

| [A Simple and Efficient Federated Recommender System](https://dl.acm.org/doi/10.1145/3365109.3368788) | Dec. 2019 | BDCAT'19 |

| [Federated Recommendation System via Differential Privacy](https://ieeexplore.ieee.org/document/9174297) | May. 2020 | ISIT'20 |

| [Meta Matrix Factorization for Federated Rating Predictions](https://arxiv.org/pdf/1910.10086v2.pdf) | Jun. 2020 | SIGIR'20 |

| [DPLCF: Differentially Private Local Collaborative Filtering](https://dl.acm.org/doi/abs/10.1145/3397271.3401053?casa_token=3nEw3CHZ6UIAAAAA:CzXCDEb65zjxXCbwhq7leQNO-6ZKrX4XoiVdMQJHLppCcGTOE_rvqcBBOfA4tQ2lCONkGy5kiOaFrRw) | Jun. 2020 | SIGIR'20 |

| [Federated CF: Privacy-Preserving Collaborative Filtering Cross Multiple Datasets](https://ieeexplore.ieee.org/document/9148791) | Jun. 2020 | ICC'20 |

| [FedFast: Going beyond Average for Faster Training of Federated Recommender Systems](https://dl.acm.org/doi/pdf/10.1145/3394486.3403176) | Aug. 2020 | KDD'20 |

| [Secure Efficient Federated KNN for Recommendation Systems](https://link.springer.com/chapter/10.1007/978-3-030-70665-4_195) | Aug. 2020 | ICNC-FSKD‘20 |

| [Secure Social Recommendation based on Secret Sharing](https://ecai2020.eu/papers/609_paper.pdf) | Aug. 2020 | ECAI‘20 |

| [A Federated Recommender System for Online Services](https://dl.acm.org/doi/fullHtml/10.1145/3383313.3411528) | Sep. 2020 | RecSys‘20 |

| [Privacy-Preserving News Recommendation Model Learning](https://www.aclweb.org/anthology/2020.findings-emnlp.128.pdf) | Oct. 2020 | EMNLP'20 |

| [FedRec++: Lossless Federated Recommendation with Explicit Feedback](https://ojs.aaai.org/index.php/AAAI/article/view/16546) | Dec. 2020 | AAAI'21 |

| [Federated Multi-Armed Bandits](https://www.aaai.org/AAAI21Papers/AAAI-1473.ShiC.pdf) | Dec. 2020 | AAAI'21 |

| [Personalized Recommendation Algorithm for Mobile Based on Federated Matrix Factorization](https://iopscience.iop.org/article/10.1088/1742-6596/1802/3/032021/pdf) | Mar. 2021 | CDMMS'20 |

| [FedeRank: User Controlled Feedback with Federated Recommender Systems](https://www.springerprofessional.de/federank-user-controlled-feedback-with-federated-recommender-sys/19011494) | Mar. 2021 | ECIR 2021 |

| [Federated Multi-armed Bandits with Personalization](http://proceedings.mlr.press/v130/shi21c/shi21c.pdf) | Apr. 2021 | AISTATS'21 |

| [Vertical Federated Learning for Higher-Order Factorization Machines](https://link.springer.com/chapter/10.1007/978-3-030-75765-6_28) | May 2021 | PAKDD'21 |

| [Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9413927) | Jun. 2021 | ICASSP'21 |

| [A Payload Optimization Method for Federated Recommender Systems](https://dl.acm.org/doi/abs/10.1145/3460231.3474257) | Sep. 2021 | RecSys‘21 |

| [Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback](https://dl.acm.org/doi/fullHtml/10.1145/3460231.3474262) | Sep. 2021 | RecSys‘21 |

| [FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing](https://dl.acm.org/doi/pdf/10.1145/3460231.3478855) | Sep. 2021 | RecSys‘21 |

| [Federated Recommender Systems with Learning to Rank](http://ceur-ws.org/Vol-2994/paper7.pdf) | Sep. 2021 | SEBD‘21 |

| [A vertical federation recommendation method based on clustering and latent factor model](https://ieeexplore.ieee.org/document/9587935) | Sep. 2021 | EIECS'21 |

| [Federated Learning Application on Telecommunication-Joint Healthcare Recommendation](https://ieeexplore.ieee.org/abstract/document/9657870?casa_token=9sWs4QbSwBoAAAAA:OY2U5C86m8uVSl2K4jgbMb_3JnHXrOrtT_7E2frov1mMYO9nMtYI_jgiQM6NFkm6Hl8DzN8) | Oct. 2021 | ICCT‘21 |

| [Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation](https://proceedings.neurips.cc/paper/2021/file/56db57b4db0a6fcb7f9e0c0b504f6472-Paper.pdf) | Dec. 2021 | NeurIPS'21 |

| [PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion](https://dl.acm.org/doi/10.1145/3488560.3498386) | Feb. 2022 | WSDM'22 |

| [Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation](https://dl.acm.org/doi/pdf/10.1145/3485447.3512192) | Apr. 2022 | WWW'22 |

| [FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling](https://dl.acm.org/doi/10.1145/3534678.3539119) | Aug. 2022 | KDD'22 |

| [Fairness-aware Federated Matrix Factorization](https://dl.acm.org/doi/10.1145/3523227.3546771) | Sep. 2022 | RecSys'22 |

| [Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity](https://dl.acm.org/doi/10.1145/3523227.3546759) | Sep. 2022 | RecSys'22 |

| [PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation](https://dl.acm.org/doi/abs/10.1145/3580305.3599889) | Aug. 2023 | KDD'23 |

| [Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation](https://dl.acm.org/doi/abs/10.1145/3580305.3599475) | Aug. 2023 | KDD'23 |

| [Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation](https://www.ijcai.org/proceedings/2023/0245.pdf) | Aug. 2023 | IJCAI'23 |

| [Dual Personalization on Federated Recommendation](https://www.ijcai.org/proceedings/2023/0507.pdf) | Aug. 2023 | IJCAI'23 |

### Journal articles

| Title | Time | Publication venue |

| --- | --- | --- |

| [A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems](https://ieeexplore.ieee.org/abstract/document/8807242?casa_token=gbK7bHcVQT4AAAAA:r5ILudorjzUk6k0c31MRCuh9V3XkHOAKQoTDrGlbyH0LPEwwkMx6tQonYSpmsYJj6j5p1TpL9wg) | Aug. 2019 | TKDE |

| [FedRec: Federated Recommendation with Explicit Feedback](https://ieeexplore.ieee.org/document/9170754) | Aug. 2020 | IEEE Intelligent Systems |

| [Secure Federated Matrix Factorization](https://ieeexplore.ieee.org/abstract/document/9162459?casa_token=UYvbEeKUDn0AAAAA:nSJKDVJ_0ER1lIjc5ArPrc6NM3IdCthhZYNplu1W7tqhEKgKhDVwImrkbBHDdK0kX82O-4iBrkA) | Aug. 2020 | IEEE Intelligent Systems |

| [Differentially private locality sensitive hashing based federated recommender system](https://ieeexplore.ieee.org/abstract/document/9162459?casa_token=UYvbEeKUDn0AAAAA:nSJKDVJ_0ER1lIjc5ArPrc6NM3IdCthhZYNplu1W7tqhEKgKhDVwImrkbBHDdK0kX82O-4iBrkA) | Feb. 2021 | Concurrency and Computation: Practice and Experience |

| [Personalized Recommendation Algorithm for Mobile Based on Federated Matrix Factorization](https://iopscience.iop.org/article/10.1088/1742-6596/1802/3/032021/meta) | Mar. 2021 | Journal of Physics: Conference Series |

| [A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems](https://academic.oup.com/comjnl/advance-article-abstract/doi/10.1093/comjnl/bxab025/6259634?redirectedFrom=fulltext) | Apr. 2021 | The Computer Journal |

| [DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning](https://ieeexplore.ieee.org/abstract/document/9448142) | Jun. 2021 | IEEE Access |

| [Federated matrix factorization for privacy-preserving recommender systems](https://www.sciencedirect.com/science/article/abs/pii/S1568494621006219?casa_token=NiBFD7sw-bgAAAAA:emAMFlKIyd1lmVoCTr1o-oETbe3h1tTjs-08FlEpcO5WnmB001jOlyUzzwes-VKIlFTqQVqcswxp) | Jul. 2021 | Applied Soft Computing |

| [FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework](https://ieeexplore.ieee.org/document/9626622/authors#authors) | Nov. 2021 | TKDE |

| [Efficient Federated Matrix Factorization against Inference Attacks](https://dl.acm.org/doi/pdf/10.1145/3501812) | May. 2022 | TIST |

| [FedCDR: Privacy-preserving federated cross-domain recommendation](https://www.sciencedirect.com/science/article/pii/S2352864822000839) | May. 2022 | TIST |

| [Federated recommenders: methods, challenges and future](https://link.springer.com/article/10.1007/s10586-022-03644-w) | May. 2022 | Cluster Computing |

| [FedRec: Trusted rank-based recommender scheme for service provisioning in federated cloud environment](https://www.sciencedirect.com/science/article/pii/S2352864822001250) | Jun. 2022 | Digital Communications and Networks |

| [Privacy-Preserving Hierarchical Federated Recommendation Systems](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10044657) | Feb. 2023 | IEEE Communications Letters |

| [Privacy-preserving Graph Convolution Network for Federated Item Recommendation](https://www.sciencedirect.com/science/article/pii/S000437022300142X) | Nov. 2023 | Artificial Intelligence |

### Book chapters

| Title | Time | Publication venue |

| --- | --- | --- |

| [Federated Recommendation Systems](https://link.springer.com/chapter/10.1007/978-3-030-63076-8_16) | Dec. 2020 | FLPI'20 |

### Workshop papers

| Title | Time | Publication venue |

| --- | --- | --- |

| [Secure Federated Matrix Factorization](https://arxiv.org/pdf/1906.05108.pdf) | Jun. 2019 | Fl-IJCAI'19 |

| [Privacy Threats Against Federated Matrix Factorization](https://arxiv.org/pdf/2007.01587.pdf) | Jul. 2020 | FL-IJCAI'20 |

### arXiv e-prints

| Title | Time | Publication venue |

| --- | --- | --- |

| [Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System](https://arxiv.org/pdf/1901.09888.pdf) | Jan. 2019 | arXiv |

| [Federating Recommendations Using Differentially Private Prototypes](https://arxiv.org/pdf/2003.00602.pdf) | Mar. 2020 | arXiv |

| [Federated Multi-view Matrix Factorization for Personalized Recommendations](https://arxiv.org/abs/2004.04256) | Apr. 2020 | arXiv |

| [Robust Federated Recommendation System](https://arxiv.org/pdf/2006.08259.pdf) | Jun. 2020 | arXiv |

| [A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations](https://arxiv.org/pdf/2008.10808.pdf) | Aug. 2020 | arXiv |

| [Shared MF: A privacy-preserving recommendation system](https://arxiv.org/pdf/2008.07759.pdf) | Aug. 2020 | arXiv |

| [A Novel Privacy-Preserved Recommender System Framework based on Federated Learning](https://arxiv.org/pdf/2011.05614.pdf) | Nov. 2020 | arXiv |

| [Fast-adapting and Privacy-preserving Federated Recommender System](https://arxiv.org/pdf/2104.00919.pdf) | Apr. 2021 | arXiv |

| [Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback](https://arxiv.org/pdf/2105.03941.pdf) | May. 2021 | arXiv |

| [Federated Neural Collaborative Filtering](https://arxiv.org/pdf/2106.04405.pdf) | Jun. 2021 | arXiv |

| [Practical and Secure Federated Recommendation with Personalized Masks](https://arxiv.org/pdf/2109.02464.pdf) | Aug. 2021 | arXiv |

| [PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion](https://arxiv.org/pdf/2110.10926.pdf) | Oct. 2021 | arXiv |

| [FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation](https://arxiv.org/pdf/2205.02359.pdf) | May. 2022 | arXiv |

| [Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data](https://arxiv.org/pdf/2212.01537.pdf) | Dec. 2022 | arXiv |

| [IFedRec: Item-Guided Federated Aggregation for Cold-Start Recommendation](https://arxiv.org/pdf/2305.12650.pdf) | May. 2023 | arXiv |

| [Graph-guided Personalization for Federated Recommendation](https://arxiv.org/pdf/2305.07866.pdf) | May. 2023 | arXiv |