SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training

4 May 2022

Papers citing "SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training"

4 / 4 papers shown

Title
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture Amine Barrak Mayssa Jaziri Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 44 2 0 25 Sep 2023
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning Amine Barrak Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 22 3 0 25 Sep 2023
Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance Amine Barrak Fábio Petrillo Fehmi Jaafar 31 2 0 27 Feb 2023
FedLesScan: Mitigating Stragglers in Serverless Federated Learning M. Elzohairy Mohak Chadha Anshul Jindal Andreas Grafberger Jiatao Gu Michael Gerndt Osama Abboud FedML 26 7 0 10 Nov 2022