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GradientCoin: A Peer-to-Peer Decentralized Large Language Models

GradientCoin: A Peer-to-Peer Decentralized Large Language Models

21 August 2023
Yeqi Gao
Zhao-quan Song
Junze Yin
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Papers citing "GradientCoin: A Peer-to-Peer Decentralized Large Language Models"

13 / 13 papers shown
Title
Fast Gradient Computation for RoPE Attention in Almost Linear Time
Fast Gradient Computation for RoPE Attention in Almost Linear Time
Yifang Chen
Jiayan Huo
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
54
11
0
03 Jan 2025
How to Protect Copyright Data in Optimization of Large Language Models?
How to Protect Copyright Data in Optimization of Large Language Models?
T. Chu
Zhao-quan Song
Chiwun Yang
28
29
0
23 Aug 2023
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression
Yeqi Gao
Zhao-quan Song
Junze Yin
23
33
0
01 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
203
2,232
0
22 Mar 2023
Bypass Exponential Time Preprocessing: Fast Neural Network Training via
  Weight-Data Correlation Preprocessing
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
Josh Alman
Jiehao Liang
Zhao-quan Song
Ruizhe Zhang
Danyang Zhuo
61
32
0
25 Nov 2022
A Kernel-Based View of Language Model Fine-Tuning
A Kernel-Based View of Language Model Fine-Tuning
Sadhika Malladi
Alexander Wettig
Dingli Yu
Danqi Chen
Sanjeev Arora
VLM
66
60
0
11 Oct 2022
Dynamic Tensor Product Regression
Dynamic Tensor Product Regression
Aravind Reddy
Zhao-quan Song
Licheng Zhang
34
20
0
08 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
770
0
15 Feb 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,690
0
18 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
4,424
0
23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,791
0
17 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
136
1,663
0
14 Apr 2018
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