Transcription of Abstract
{{id}} {{{paragraph}}}
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He , Songze Li, Jinhyun So, Xiao Zeng, Mi Zhang USC Stanford USC MSU MSU. Hongyi Wang, xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu [ ] 8 Nov 2020. UW-Madison UIUC MIT MIT USC. Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu Ping An Tech. Tencent WeBank Ramesh Raskar, Qiang Yang, Murali Annavaram , Salman Avestimehr . MIT HKUST USC USC. Abstract Federated learning (FL) is a rapidly growing research field in machine learning. However, existing FL libraries cannot adequately support diverse algorithmic de- velopment; inconsistent dataset and model usage make fair algorithm comparison challenging.
Chaoyang He, Songze Li, Jinhyun So, Xiao Zeng, Mi Zhang USC Stanford USC MSU MSU Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu UW-Madison UIUC MIT MIT USC Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu Ping An Tech. Tencent WeBank Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman …
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}