all AI news
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. (arXiv:2204.05011v2 [cs.LG] UPDATED)
Web: http://arxiv.org/abs/2204.05011
May 4, 2022, 1:12 a.m. | Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
cs.LG updates on arXiv.org arxiv.org
Although remarkable progress has been made by the existing federated learning
(FL) platforms to provide fundamental functionalities for development, these
platforms cannot well tackle the challenges brought by the heterogeneity of FL
scenarios from both academia and industry. To fill this gap, in this paper, we
propose a flexible federated learning platform, named FederatedScope, for
handling various types of heterogeneity in FL. Considering both flexibility and
extendability, FederatedScope adopts an event-driven architecture to
conveniently support asynchronous training protocol in practical …
More from arxiv.org / cs.LG updates on arXiv.org
Latest AI/ML/Big Data Jobs
Data Analyst, Patagonia Action Works
@ Patagonia | Remote
Data & Insights Strategy & Innovation General Manager
@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX
Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis
@ Ahmedabad University | Ahmedabad, India
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC