FedPDD: A Privacy-preserving Double Distillation Framework for
Cross-silo Federated Recommendation

v1v2 (latest)

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation

9 May 2023

Hanlin Gu

ArXiv (abs)PDF HTML

Papers citing "FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation"

17 / 17 papers shown

Title
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 73 76 0 10 Sep 2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation M. Eren Luke E. Richards Manish Bhattarai Roberto Yus Charles K. Nicholas Boian S. Alexandrov FedML 62 9 0 04 May 2022
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback Lorenzo Minto Moritz Haller Hamed Haddadi B. Livshits FedML 53 74 0 09 May 2021
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning Zeyuan Allen-Zhu Yuanzhi Li FedML 130 374 0 17 Dec 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 114 1,235 0 31 Mar 2020
Cooperative Learning via Federated Distillation over Fading Channels Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 68 29 0 03 Feb 2020
Multi-Participant Multi-Class Vertical Federated Learning Siwei Feng Han Yu FedML 71 88 0 30 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 268 6,285 0 10 Dec 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 101 862 0 08 Oct 2019
Secure Federated Matrix Factorization Di Chai Leye Wang Kai Chen Qiang Yang FedML 58 324 0 12 Jun 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 78 2,322 0 13 Feb 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 83 274 0 29 Jan 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 85 410 0 16 May 2018
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 153 1,654 0 01 Jun 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 122 2,654 0 13 Mar 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,162 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016