FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

no code implementations • 22 Feb 2020 • Rongfei Zeng, Shixun Zhang, Jiaqi Wang, Xiaowen Chu

In MEC, edge nodes would not like to voluntarily participate in learning, and they differ in the provision of multi-dimensional resources, both of which might deteriorate the performance of federated learning.

Edge-computing Federated Learning

OpenArray v1.0: a simple operator library for the decoupling of ocean modeling and parallel computing

1 code implementation • Geoscientific Model Development 2019 • Xiaomeng Huang, Xing Huang, Dong Wang, Qi Wu, Yi Li, Shixun Zhang, YuWen Chen, Mingqing Wang, Yuan Gao, Qiang Tang, Yue Chen, Zheng Fang, Zhenya Song, Guangwen Yang

In this work, we design a simple computing library to bridge the gap and decouple the work of ocean modeling from parallel computing.