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Parallel Training of Deep Networks with Local Updates

Parallel Training of Deep Networks with Local Updates

7 December 2020
Michael Laskin
Luke Metz
Seth Nabarrao
Mark Saroufim
Badreddine Noune
Carlo Luschi
Jascha Narain Sohl-Dickstein
Pieter Abbeel
    FedML
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Papers citing "Parallel Training of Deep Networks with Local Updates"

7 / 7 papers shown
Title
On Advancements of the Forward-Forward Algorithm
On Advancements of the Forward-Forward Algorithm
Mauricio Ortiz Torres
Markus Lange
Arne P. Raulf
65
0
0
30 Apr 2025
Going Forward-Forward in Distributed Deep Learning
Going Forward-Forward in Distributed Deep Learning
Ege Aktemur
Ege Zorlutuna
Kaan Bilgili
Tacettin Emre Bok
Berrin Yanikoglu
Suha Orhun Mutluergil
FedML
23
1
0
30 Mar 2024
Local Learning with Neuron Groups
Local Learning with Neuron Groups
Adeetya Patel
Michael Eickenberg
Eugene Belilovsky
29
5
0
18 Jan 2023
Scaling Forward Gradient With Local Losses
Scaling Forward Gradient With Local Losses
Mengye Ren
Simon Kornblith
Renjie Liao
Geoffrey E. Hinton
81
49
0
07 Oct 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input
  Attributes from Feature Representations
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
27
17
0
27 Feb 2022
Feature Alignment as a Generative Process
Feature Alignment as a Generative Process
T. S. Farias
Jonas Maziero
DiffM
BDL
26
1
0
23 Jun 2021
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
264
4,505
0
23 Jan 2020
1