PA-ATP: Progress-Aware Transmission Protocol for In-Network Aggregation

Author:

Li Zhaoyi1,Huang Jiawei1,Zhang Tao2,Zhou Shengwen1,Wang Qile1,Li Yijun1,Liu Jingling1,Jiang Wanchun1,Wang Jianxin1

Affiliation:

1. Central South University,Changsha,Hunan,China

2. Changsha University,Changsha,Hunan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference27 articles.

1. Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity;Fedus;arXiv preprint,2021

2. Efficient data-plane memory scheduling for in-network aggregation;Wang;arXiv preprint,2022

3. Exploring the limits of language modeling;Jozefowicz;arXiv preprint,2016

4. Ports, and Peter Richtarik. Scaling distributed machine learning with in-network aggregation;Sapio,2021

5. Atp: In-network aggregation for multi-tenant learning;Lao,2021

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