Federating Recommendations Using Differentially Private Prototypes

Federating Recommendations Using Differentially Private Prototypes

1 March 2020

Jette Henderson

Sinead Williamson

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Papers citing "Federating Recommendations Using Differentially Private Prototypes"

13 / 13 papers shown

Title
Federated learning-outcome prediction with multi-layer privacy protection Yupei Zhang Yuxin Li Yifei Wang Shuangshuang Wei Yunan Xu Xuequn Shang 122 8 0 25 Dec 2023
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models Craig Boutilier Martin Mladenov Guy Tennenholtz OffRL CML 80 10 0 08 Sep 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 114 50 0 14 Jun 2023
Improving the Utility of Differentially Private Clustering through Dynamical Processing Junyoung Byun Yujin Choi Jaewoo Lee 95 1 0 27 Apr 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 57 12 0 07 Mar 2023
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation Huancheng Chen Johnny J. Wang H. Vikalo FedML 95 39 0 21 Jan 2023
Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGX Siyuan Hui Yuqiu Zhang A. Hu Edmund Song FedML 30 2 0 11 Jul 2022
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data Huancheng Chen H. Vikalo FedML 76 13 0 01 Jun 2022
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 94 156 0 21 Nov 2021
Federated Neural Collaborative Filtering V. Perifanis P. Efraimidis FedML 123 96 0 02 Jun 2021
Communication-Efficient Federated Learning via Optimal Client Sampling Mónica Ribero H. Vikalo FedML 87 95 0 30 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 269 578 0 27 Jul 2020
Robust Federated Recommendation System Chen Chen Jingfeng Zhang A. Tung Mohan Kankanhalli Gang Chen FedML 91 28 0 15 Jun 2020

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