Di-Chai / FedMFLinks
☆63Updated 5 years ago
Alternatives and similar repositories for FedMF
Users that are interested in FedMF are comparing it to the libraries listed below
Sorting:
- A project for collecting and showing the current research progress of FedRec☆141Updated last year
- A collection of research papers on Federated Recommender Systems.☆69Updated 8 months ago
- Data and code of our paper "Privacy-Preserving News Recommendation Model Learning"☆39Updated 3 years ago
- Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity…☆40Updated 2 years ago
- ☆10Updated 3 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆63Updated 5 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆29Updated 3 years ago
- code of FedGNN☆91Updated 3 years ago
- Papers related to federated learning for recommender system☆32Updated 4 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆79Updated 3 years ago
- The Code for "Federated Recommender with Additive Personalization"☆35Updated last month
- ☆42Updated 2 years ago
- ☆26Updated 5 years ago
- Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation☆55Updated last year
- 使用tensorflow2.1实现联合学习推荐模型,并加入差分隐私噪声进行隐私保护。☆54Updated 2 years ago
- Unofficial implementation of the algorithm described in the paper Federated Collaborative Filtering for Privacy-Preserving Personalized R…☆21Updated 3 years ago
- Code for Federated Social Recommendation with Graph Neural Network☆29Updated 2 years ago
- Code for ijcai-23 paper "Dual Personalization on Federated Recommendation"☆28Updated 11 months ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆47Updated 2 weeks ago
- ☆11Updated 3 years ago
- Profit Allocation for Federated Learning☆23Updated 5 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- vertical federated learning paper lists☆76Updated 4 years ago
- Model Poisoning Attack to Federated Recommendation☆30Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆299Updated 11 months ago
- ☆174Updated 8 months ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Differential private machine learning☆195Updated 3 years ago
- ☆17Updated 3 years ago
- ☆194Updated 11 months ago