Skip to main content
King Abdullah University of Science and Technology
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • Teaching
  • Collaborators
  • Books
  • Contact Us

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.

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the King Abdullah University of Science and Technology.