Skip to main content
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
Home
Study
Prospective Students
Current Students
Internships
Research
Research Overview
Research Areas
Research Groups
Programs
Applied Mathematics and Computational Sciences
Computer Science
Electrical and Computer Engineering
Statistics
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Alumni
Administrative Staff
News
Events
About
Who We Are
Message from the Dean
Leadership Team
Apply
gradient descent operation
EF21-P and friends: Improved theoretical communication complexity for distributed optimization with bidirectional compression
Feb 6, 12:00
-
13:00
B9 L2 H2 H2
EF21-P
distributed optimization
gradient descent operation
In this work we focus our attention on distributed optimization problems in the context where the communication time between the server and the workers is non-negligible. We obtain novel methods supporting bidirectional compression (both from the server to the workers and vice versa) that enjoy new state-of-the-art theoretical communication complexity for convex and nonconvex problems.