Machine Learning on Volatile Instances

Machine Learning on Volatile Instances

IEEE Conference on Computer Communications (INFOCOM), 2020

12 March 2020

Carlee Joe-Wong

ArXiv (abs)PDF HTML

Papers citing "Machine Learning on Volatile Instances"

5 / 5 papers shown

Title
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset Weijie Liu Xiaoxi Zhang Jingpu Duan Carlee Joe-Wong Zhi Zhou Xu Chen 177 19 0 20 Oct 2023
Multi-FedLS: a Framework for Cross-Silo Federated Learning Applications on Multi-Cloud Environments R. Brum Maria Clicia Stelling de Castro L. Arantes Lúcia M. A. Drummond Pierre Sens FedML 108 2 0 17 Aug 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-EfficientInternational Conference on Machine Learning (ICML), 2023 Max Ryabinin Tim Dettmers Michael Diskin Alexander Borzunov MoE 244 50 0 27 Jan 2023
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low CostBiennial Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES), 2022 Thales Sales Almeida Thiago Laitz Joao Seródio L. Bonifacio R. Lotufo Rodrigo Nogueira 124 4 0 26 Oct 2022
Dynamic backup workers for parallel machine learning Chuan Xu Giovanni Neglia Nicola Sebastianelli 236 11 0 30 Apr 2020