Differentially private cross-silo federated learning

Differentially private cross-silo federated learning

10 July 2020

Mikko A. Heikkilä

Papers citing "Differentially private cross-silo federated learning"

12 / 12 papers shown

Title
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses Changyu Gao Andrew Lowy Xingyu Zhou Stephen J. Wright FedML 26 2 0 12 Jul 2024
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 23 2 0 08 Nov 2023
Private Read-Update-Write with Controllable Information Leakage for Storage-Efficient Federated Learning with Top $r$ Sparsification Sajani Vithana S. Ulukus FedML 18 5 0 07 Mar 2023
Federated Learning for Inference at Anytime and Anywhere Zicheng Liu Da Li Javier Fernandez-Marques Stefanos Laskaridis Yan Gao L. Dudziak Stan Z. Li S. Hu Timothy M. Hospedales FedML 21 5 0 08 Dec 2022
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification Sajani Vithana S. Ulukus FedML 13 19 0 09 Sep 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 20 51 0 16 Jun 2022
Social Welfare Maximization in Cross-Silo Federated Learning Jianan Chen Qin Hu Honglu Jiang FedML 32 8 0 18 Feb 2022
Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning Jianan Chen Qin Hu Honglu Jiang FedML 23 1 0 16 Feb 2022
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 20 64 0 30 Jul 2021
Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective Ning Zhang Qian Ma Xu Chen FedML 22 50 0 22 Jun 2021
Federating Recommendations Using Differentially Private Prototypes Mónica Ribero Jette Henderson Sinead Williamson H. Vikalo FedML 12 39 0 01 Mar 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018