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Distributed Learning

7 directly classified papers

Papers per year

Papers

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
Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition AAAI 2021
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Collaborative Deep Learning in Fixed Topology Networks NIPS 2017