Stochastic Coded Federated Learning: Theoretical Analysis and Incentive
Mechanism Design

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design

8 November 2022

Jiawei Shao

Papers citing "Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design"

5 / 5 papers shown

Title
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
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning Yuchang Sun Zehong Lin Yuyi Mao Shi Jin Jinchao Zhang 46 11 0 26 May 2023
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
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 98 241 0 09 Sep 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019