Видео ютуба по тегу Distributed Gradient Descent

Understanding Horovod for distributed gradient descent in PyTorch
Understanding Horovod for distributed gradient descent in PyTorch
MLAI 2019 #03. Francis Bach – Distributed Machine Learning over NetworksBach
MLAI 2019 #03. Francis Bach – Distributed Machine Learning over NetworksBach
P. Richtárik
P. Richtárik "Distributed Second Order Methods with Fast Rates and Compressed Communication"
Distributed Gradient Descent with Horovod
Distributed Gradient Descent with Horovod
[DL-1] Distributed Learning and Quantization
[DL-1] Distributed Learning and Quantization
ArtIAMAS Seminar Series, April 27, 2022: Nikhil Chopra
ArtIAMAS Seminar Series, April 27, 2022: Nikhil Chopra
Elchanan Solomon (08/25/21): Dimensionality Reduction via Distributed Persistence: DIPOLE
Elchanan Solomon (08/25/21): Dimensionality Reduction via Distributed Persistence: DIPOLE
On the Utility of Gradient Compression in Distributed Training Systems
On the Utility of Gradient Compression in Distributed Training Systems
High-Performance Communication Strategies in Parallel and Distributed Deep Learning
High-Performance Communication Strategies in Parallel and Distributed Deep Learning
09 Feb 2017; WISO;
09 Feb 2017; WISO; "On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and S...
Optimization Techniques - W2023 - Lecture 10 (Distributed Optimization & Non-Smooth Optimization)
Optimization Techniques - W2023 - Lecture 10 (Distributed Optimization & Non-Smooth Optimization)
Byzantine Resilient Distributed Optimization Beyond First Order Methods
Byzantine Resilient Distributed Optimization Beyond First Order Methods
Fault Tolerant Distributed Gradient Descent
Fault Tolerant Distributed Gradient Descent
OWOS: Uday Shanbhag -
OWOS: Uday Shanbhag - "Inexact and Distributed Best-Response Schemes for Stochastic Nash Equilibrium
Week 10: Lecture 35: Algorithms for Distributed Optimization
Week 10: Lecture 35: Algorithms for Distributed Optimization
Chapter 11. Distributed and decentralized optimization
Chapter 11. Distributed and decentralized optimization
Week 10: Lecture 36: Algorithms for Distributed Optimization-2
Week 10: Lecture 36: Algorithms for Distributed Optimization-2
Lecture 14 - Distributed Training and Gradient Compression (Part II) | MIT 6.S965
Lecture 14 - Distributed Training and Gradient Compression (Part II) | MIT 6.S965
Unsupervised Learning: T-SNE (t-distributed stochastic neighbor embedding)
Unsupervised Learning: T-SNE (t-distributed stochastic neighbor embedding)
Optimization Techniques -W23- Lecture 9 (Conjugate Gradient, Quasi-Newton, Distributed Optimization)
Optimization Techniques -W23- Lecture 9 (Conjugate Gradient, Quasi-Newton, Distributed Optimization)
Distributed Optimization From Scratch - Class 4
Distributed Optimization From Scratch - Class 4
Week 11: Lecture 40: Decentralized Stochastic Gradient Descent
Week 11: Lecture 40: Decentralized Stochastic Gradient Descent
Lec 33 Robust Distributed Learning under Adversaries
Lec 33 Robust Distributed Learning under Adversaries
Controlling Distributed Optimization from a Stochastic Oracle, by Adit Jain
Controlling Distributed Optimization from a Stochastic Oracle, by Adit Jain
On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and Stochastic
On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and Stochastic