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Distributed Learning

14 papers

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Papers

OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning ACL 2026
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025
Exponential Quantum Communication Advantage in Distributed Inference and Learning NIPS 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NIPS 2024
$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning NIPS 2023
Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023
Decentralized Training of Foundation Models in Heterogeneous Environments NIPS 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition AAAI 2021
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
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Collaborative Deep Learning in Fixed Topology Networks NIPS 2017
Large Scale Distributed Deep Networks NIPS 2012