ResearchTrend.AI
Going Forward-Forward in Distributed Deep Learning
v1v2 (latest)

Going Forward-Forward in Distributed Deep Learning

Ege Aktemur
Ege Zorlutuna
Kaan Bilgili
Tacettin Emre Bok
Berrin Yanikoglu
Suha Orhun Mutluergil
ArXiv (abs)PDFHTML

Papers citing "Going Forward-Forward in Distributed Deep Learning"

3 / 3 papers shown
Title
Self-Contrastive Forward-Forward Algorithm
Self-Contrastive Forward-Forward Algorithm
Xing Chen
Dongshu Liu
Jérémie Laydevant
Julie Grollier
126
2
0
17 Sep 2024
Flower: A Friendly Federated Learning Research Framework
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
...
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
140
820
0
28 Jul 2020
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
R. Mayer
Hans-Arno Jacobsen
GNN
74
190
0
27 Mar 2019

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.