← Optimization & Theory
Deep Learning › Optimization & Theory ›

Distributed Learning

6 directly classified papers

Papers per year

Papers

$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning NIPS 2023
Decentralized Training of Foundation Models in Heterogeneous Environments NIPS 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021
P3: Distributed Deep Graph Learning at Scale OSDI 2021
Large Scale Distributed Deep Networks NIPS 2012