Agent Trial
Trading Prediction Markets AI Agent Context Fastest News API Agent Trial Log In Sign Up
News Wire / technology

FlashbackCL Addresses Temporal Forgetting In Federated Learning

Modernity/arxiv 58m Impact 5
Researchers have introduced FlashbackCL, a framework designed to mitigate temporal forgetting in federated learning models. This approach targets foundation and edge models used in federated learning.

Topics

federated learning artificial intelligence machine learning

Developing

  1. 883d Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore.
  2. 883d Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
  3. 883d Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est.
  4. 883d Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium.

Sources · 7 independent

Modernity/arxiv

“FlashbackCL: Mitigating Temporal Forgetting in Federated Learning. Authors: Mubarak A. Ojewale, Adriana E. Chis, Jorge M. Cortes-Mendoza, Bernardo Pulido-Gaytan, Horacio Gonzalez-Velez Abstract: Federated Learning (FL) of foundation and edge models increasingly targ...”

Unlock the full story

Get a Pro subscription or above to see the live story progression and the full list of independent sources confirming each event as they happen.

Log in to upgrade