Skip to main content
Statistics
Statistics
Study
Prospective Students
Current Students
Research
Research Areas
Research Groups
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Administrative Staff
Alumni
Students
News
Events
History
Al-Kindi
Al-Kindi Distinguished Statistics Lectures
Al-Kindi Student Awards
About
CEMSE Division
Apply
proximal algorithms
The Many Faces of Compression: Theory and Practice in Federated Optimization
Elnur Gasanov, Ph.D. Student, Computer Science
May 28, 10:00
-
12:00
B3, L5, R5209
compression methods
communication efficiency
proximal algorithms
This thesis presents novel compression methods and optimization algorithms aimed at improving communication efficiency in large-scale machine learning systems.