An Efficient Split Fine-tuning Framework for Edge and Cloud
Collaborative Learning

An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning

30 November 2022

Papers citing "An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning"

9 / 9 papers shown

Title
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters Yang Xiang Zhihua Wu Weibao Gong Siyu Ding Xianjie Mo ... Yue Yu Ge Li Yu Sun Yanjun Ma Dianhai Yu 55 5 0 19 May 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 471 6,231 0 05 Apr 2022
Structured Pruning Learns Compact and Accurate Models Mengzhou Xia Zexuan Zhong Danqi Chen VLM 51 184 0 01 Apr 2022
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM Deepak Narayanan Mohammad Shoeybi Jared Casper P. LeGresley M. Patwary ... Prethvi Kashinkunti J. Bernauer Bryan Catanzaro Amar Phanishayee Matei A. Zaharia MoE 105 688 0 09 Apr 2021
SplitEasy: A Practical Approach for Training ML models on Mobile Devices Kamalesh Palanisamy Vivek Khimani Moin Hussain Moti Dimitris Chatzopoulos 50 20 0 09 Nov 2020
Compressing deep neural networks by matrix product operators Ze-Feng Gao Song Cheng Rong-Qiang He Z. Xie Hui-Hai Zhao Zhong-Yi Lu Tao Xiang 63 38 0 11 Apr 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 707 0 03 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,154 0 20 Apr 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 274 8,127 0 16 Jun 2016