From 48719505a24152cea5b55daf518b3548b545336e Mon Sep 17 00:00:00 2001 From: "yuexiang.xyx" Date: Thu, 10 Nov 2022 15:20:49 +0800 Subject: [PATCH] update paper list for fl-rec --- .../paper_list/FL-Recommendation/README.md | 31 +++++++++++++++++-- 1 file changed, 28 insertions(+), 3 deletions(-) diff --git a/materials/paper_list/FL-Recommendation/README.md b/materials/paper_list/FL-Recommendation/README.md index dea3b1744..1ad2ca4b9 100644 --- a/materials/paper_list/FL-Recommendation/README.md +++ b/materials/paper_list/FL-Recommendation/README.md @@ -1,23 +1,43 @@ ## Federated Learning for Recommendation ### 2022 -Coming soon! +| Title | Venue | Link | +| --- | --- | --- | +| A Privacy-Preserving Oriented Service Recommendation Approach based on Personal Data Cloud and Federated Learning | IEEE ICWS | [pdf](https://ieeexplore.ieee.org/abstract/document/9885792) | +| Personalized Federated Recommendation System with Historical Parameter Clustering | JAIHC | [pdf](https://link.springer.com/article/10.1007/s12652-022-03709-z) | +| User-Controlled Federated Matrix Factorization for Recommender Systems | JIIS | [pdf](https://link.springer.com/article/10.1007/s10844-021-00688-z) | +| Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation | WWW | [pdf](https://arxiv.org/pdf/2202.04893.pdf) | +| Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity | RecSys | [pdf](https://arxiv.org/abs/2206.02633) | +| Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation | CIKM | [pdf](https://dl.acm.org/doi/pdf/10.1145/3511808.3557668) | +| FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction | CIKM | [pdf](https://dl.acm.org/doi/pdf/10.1145/3511808.3557320) | +| Cali3F: Calibrated Fast Fair Federated Recommendation System | IJCNN | [pdf](https://arxiv.org/abs/2205.13121) | +| Ranking-based Federated POI Recommendation with Geographic Effect | IJCNN | [pdf](https://ieeexplore.ieee.org/abstract/document/9892943) | +| FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation | arXiv | [pdf](https://arxiv.org/abs/2204.09850) | +| Federated Unlearning for On-Device Recommendation | arXiv | [pdf](https://arxiv.org/abs/2210.10958) | +| PrivateRec: Differentially Private Training and Serving for Federated News Recommendation | arXiv | [pdf](https://arxiv.org/abs/2204.08146) | ### 2021 | Title | Venue | Link | | --- | --- | --- | -| Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation | EMNLP | [pdf](https://aclanthology.org/2021.emnlp-main.223), [code](https://github.com/yjw1029/Efficient-FedRec) | +| Federated Social Recommendation with Graph Neural Network | ACM TIST | [pdf](https://arxiv.org/abs/2111.10778) | +| PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning | ACM IMWUT | [pdf](https://dl.acm.org/doi/abs/10.1145/3448099) | +| Federated Neural Collaborative Filtering | ACM KBS | [pdf](https://arxiv.org/abs/2106.04405) | | POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation | INFOCOM workshop | [pdf](https://ieeexplore.ieee.org/document/9484510) | | Fast-adapting and Privacy-preserving Federated Recommender System | VLDB Journal | [pdf](https://arxiv.org/abs/2104.00919) | +| FedCT: Federated Collaborative Transfer for Recommendation | SIGIR | [pdf](https://dl.acm.org/doi/abs/10.1145/3404835.3462825) | | Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback | RecSys | [pdf](https://arxiv.org/abs/2105.03941) | | A Payload Optimization Method for Federated Recommender Systems | RecSys | [pdf](https://arxiv.org/abs/2107.13078) | +| Fedrec++: Lossless federated recommendation with explicit feedback | AAAI | [pdf](https://ojs.aaai.org/index.php/AAAI/article/view/16546) | +| Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation | EMNLP | [pdf](https://aclanthology.org/2021.emnlp-main.223), [code](https://github.com/yjw1029/Efficient-FedRec) | +| Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving | EMNLP | [pdf]( https://aclanthology.org/2021.findings-emnlp.124.pdf), [code](https://github.com/taoqi98/UniFedRec) | | Practical and Secure Federated Recommendation with Personalized Masks | arXiv | [pdf](https://arxiv.org/abs/2109.02464) | | FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation | arXiv | [pdf](https://arxiv.org/abs/2102.04925) | -| Federated Neural Collaborative Filtering | arXiv | [pdf](https://arxiv.org/abs/2106.04405) | +| Learning Federated Representations and Recommendations with Limited Negatives | arXiv | [pdf](https://arxiv.org/abs/2108.07931), [code](https://git.io/federated_dual_encoder) | ### 2020 | Title | Venue | Link | | --- | --- | --- | +| Practical Privacy Preserving POI Recommendation | ACM TIST | [pdf](https://arxiv.org/abs/2003.02834) | | Secure Federated Matrix Factorization | IEEE Intelligent Systems | [pdf](https://ieeexplore.ieee.org/abstract/document/9162459), [code](https://github.com/Di-Chai/FedMF) | | FedRec: Federated Recommendation With Explicit Feedback | IEEE Intelligent Systems | [pdf](https://ieeexplore.ieee.org/abstract/document/9170754), [code](https://csse.szu.edu.cn/staff/panwk/publications/FedRec/) | | Privacy-Preserving News Recommendation Model Learning | EMNLP | [pdf](https://aclanthology.org/2020.findings-emnlp.128/), [code](https://github.com/taoqi98/FedNewsRec) | @@ -29,3 +49,8 @@ Coming soon! | Title | Venue | Link | | --- | --- | --- | | Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System | arXiv | [pdf](https://arxiv.org/abs/1901.09888) | + +### 2018 +| Title | Venue | Link | +| --- | --- | --- | +| Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy | IEEE TKDE | [pdf](https://ieeexplore.ieee.org/abstract/document/8290673) |