Stochastic Coded Federated Learning with Convergence and Privacy
Guarantees

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees

25 January 2022

Jiawei Shao

Papers citing "Stochastic Coded Federated Learning with Convergence and Privacy Guarantees"

10 / 10 papers shown

Title
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 41 17 0 01 Dec 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 38 12 0 13 May 2023
FedNC: A Secure and Efficient Federated Learning Method with Network Coding Yuchen Shi Zheqi Zhu Pingyi Fan Khaled B. Letaief Chenghui Peng FedML 23 0 0 05 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li Duanyi Yao Jin Liu FedML 38 28 0 26 Apr 2023
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 23 57 0 17 Nov 2022
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design Yuchang Sun Jiawei Shao Yuyi Mao Songze Li Jun Zhang FedML 18 8 0 08 Nov 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 27 37 0 06 Oct 2022
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 45 375 0 21 Jan 2020
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 179 683 0 07 Dec 2010