scholarly journals SignGD with error feedback meets lazily aggregated technique: Communication-efficient algorithms for distributed learning

2022 ◽  
Vol 27 (1) ◽  
pp. 174-185
Author(s):  
Xiaoge Deng ◽  
Tao Sun ◽  
Feng Liu ◽  
Dongsheng Li
Author(s):  
Avishek Ghosh ◽  
Raj Kumar Maity ◽  
Swanand Kadhe ◽  
Arya Mazumdar ◽  
Kannan Ramchandran

2018 ◽  
Vol 12 ◽  
pp. 25-41
Author(s):  
Matthew C. FONTAINE

Among the most interesting problems in competitive programming involve maximum flows. However, efficient algorithms for solving these problems are often difficult for students to understand at an intuitive level. One reason for this difficulty may be a lack of suitable metaphors relating these algorithms to concepts that the students already understand. This paper introduces a novel maximum flow algorithm, Tidal Flow, that is designed to be intuitive to undergraduate andpre-university computer science students.


2014 ◽  
Vol 36 (5) ◽  
pp. 1047-1064 ◽  
Author(s):  
Bin LIAO ◽  
Jiong YU ◽  
Tao ZHANG ◽  
Xing-Yao YANG

Sign in / Sign up

Export Citation Format

Share Document