Federated Recommender Systems

联邦推荐系统

IJCAI 2020 Tutorial for Federated Recommender Systems

July 11-13, 2020

《联邦推荐算法及其应用》课程 (an one-hour introductory course, in Chinese)

主要介绍了联邦推荐系统背景、联邦推荐系统分类以及现有工作、联邦推荐算法实现和联邦推荐在新闻推荐的应用

FedRec library aims to address recommondation problems such as rating prediction and item ranking under federated learning senario. It includes implementation of a number of popular recommondation algorithms based on FATE library. Such as federated fm, federated mf, federated svd etc.

A Federated Recommender System for Online Services. In Fourteenth ACM Conference on Recommender Systems (RecSys ’20), Virtual Event, Brazil, September 21–26, 2020 (video)

References on Federated Recommender Systems