• Home
  • About
  • A Brief History of AI
  • AI-Alerts
  • AI Magazine
  • AAAI Conferences
  • NeurIPS
  • Books
  • Classics

LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

Tianyi Chen, Georgios Giannakis, Tao Sun, Wotao Yin

Feb-15-2026, 10:08:13 GMT–Neural Information Processing Systems 

Neural Information Processing Systems http://nips.cc/

  communication, complexity, lag, (16 more...)

Neural Information Processing Systems

Feb-15-2026, 10:08:13 GMT

Conferences    PDF

Add feedback

  • Country:
    • Asia
      • China > Beijing
        • Beijing (0.04)
      • Middle East > Jordan (0.04)
    • Europe
      • Denmark > Capital Region
        • Copenhagen (0.04)
      • France > Hauts-de-France
        • Nord > Lille (0.04)
      • Germany > Berlin (0.04)
      • Spain > Andalusia
        • Granada Province > Granada (0.04)
    • North America
      • Canada > Quebec
        • Montreal (0.05)
      • United States
        • California > Los Angeles County
          • Long Beach (0.05)
          • Los Angeles (0.28)
        • Florida > Broward County
          • Fort Lauderdale (0.04)
        • Minnesota > Hennepin County
          • Minneapolis (0.14)
        • Oregon > Benton County
          • Corvallis (0.04)
    • Oceania > Australia
      • New South Wales > Sydney (0.04)
      • Victoria > Melbourne (0.04)
  • Technology:
    • Information Technology > Artificial Intelligence
      • Machine Learning > Statistical Learning
        • Gradient Descent (0.35)
      • Representation & Reasoning (1.00)

  • By text
  • By views
  • By concept tags

Duplicate Docs Excel Report

Title
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

Similar Docs  Excel Report  more

TitleSimilaritySource
None found

Site Feedback

© 2026, i2k Connect Inc  ·  All Rights Reserved.
Privacy policy  ·  Terms of use  ·  License  ·  Legal Notices
This is i2kweb version 7.1.0-SNAPSHOT. Logged in as aitopics-guest.

Site Feedback

powered by
i2k Connect

aitopics.org uses cookies to deliver the best possible experience. By continuing to use this site, you consent to the use of cookies. Learn more ยป

Add feedback

Send feedback to help us improve this new enhanced search experience.

Thank You!