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← Learning Types
Deep Learning
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Learning Types
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Distributed Learning
14 papers
Papers per year
2012: 1
1
2017: 1
1
2019: 1
1
2021: 3
3
2022: 2
2
2023: 2
2
2024: 2
2
2025: 1
1
2026: 1
1
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
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