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

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

4 May 2022

Paarijaat Aditya

Istemi Ekin Akkus

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training
Architecture

SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training ArchitectureInternational Conference on Software Quality, Reliability and Security (QRS), 2023

Fábio Petrillo

170

5

0

25 Sep 2023

Exploring the Impact of Serverless Computing on Peer To Peer Training
Machine Learning

Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning

Fábio Petrillo

185

5

0

25 Sep 2023

Architecting Peer-to-Peer Serverless Distributed Machine Learning
Training for Improved Fault Tolerance

Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance

Fábio Petrillo

114

3

0

27 Feb 2023

FedLesScan: Mitigating Stragglers in Serverless Federated Learning

FedLesScan: Mitigating Stragglers in Serverless Federated Learning

Andreas Grafberger

283

7

0

10 Nov 2022