PiPar: Pipeline Parallelism for Collaborative Machine Learning

1 December 2022

Papers citing "PiPar: Pipeline Parallelism for Collaborative Machine Learning"

4 / 4 papers shown

Title
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning Di Wu R. Ullah Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 27 1 0 11 Apr 2023
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines Shigang Li Torsten Hoefler GNN AI4CE LRM 77 131 0 14 Jul 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014