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A Fast, Performant, Secure Distributed Training Framework For Large
  Language Model

A Fast, Performant, Secure Distributed Training Framework For Large Language Model

18 January 2024
Wei Huang
Yinggui Wang
Anda Cheng
Aihui Zhou
Chaofan Yu
Lei Wang
    ALM
ArXivPDFHTML

Papers citing "A Fast, Performant, Secure Distributed Training Framework For Large Language Model"

5 / 5 papers shown
Title
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large
  Language Models in Federated Learning
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Weirui Kuang
Bingchen Qian
Zitao Li
Daoyuan Chen
Dawei Gao
Xuchen Pan
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
81
122
0
01 Sep 2023
Towards Building the Federated GPT: Federated Instruction Tuning
Towards Building the Federated GPT: Federated Instruction Tuning
Jianyi Zhang
Saeed Vahidian
Martin Kuo
Chunyuan Li
Ruiyi Zhang
Tong Yu
Yufan Zhou
Guoyin Wang
Yiran Chen
ALM
FedML
67
123
0
09 May 2023
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
342
1,090
0
05 Oct 2022
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Ningyu Zhang
Mosha Chen
Zhen Bi
Xiaozhuan Liang
Lei Li
...
Jun Yan
Hongying Zan
Kunli Zhang
Buzhou Tang
Qingcai Chen
LM&MA
ELM
62
186
0
15 Jun 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
168
396
0
08 Jun 2018
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