Stars
This is an official implememtation of the NeurIPS2024 paper HiCS-FL
A PyTorch implementation of "Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective" (AAAI 2025)
Code for aaai-25 paper "Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach"
Official repo of the paper "No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation" accepted in AAAI 2024
Code for www-24 paper "When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions"
[CIKM'22] "Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation"
🔬 [SDM'24] This is the source code and baselines of our paper FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning.
[TIST'24] "PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training"
[AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense"
Code for ijcai-24 paper "Federated Adaptation for Foundation Model-based Recommendations"
The source code for the paper "LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization".
🔬 [ECML-PKDD'24] This is the source code and baselines of our paper FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling.
The source code for the paper "Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation".
Unofficial implementation of the algorithm described in the paper Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System by Muhammad Ammad-ud-din et al.
The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.
Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks
Code for Federated Social Recommendation with Graph Neural Network
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to fed…
This repository contains the code for our AAAI 24 paper titled No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
致力于实习/校招/社招进大厂打法，计算机基础知识学习，C++、Java、算法学习路线，专注于编程打法！
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】