Locality-Aware and Fault-Tolerant Batching for Machine Learning on Distributed Datasets-Reference-Cited by-同舟云学术

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Locality-Aware and Fault-Tolerant Batching for Machine Learning on Distributed Datasets

Published:2024-04 Issue:2 Volume:12 Page:370-387
ISSN:2168-7161
Container-title:IEEE Transactions on Cloud Computing
language:
Short-container-title:IEEE Trans. Cloud Comput.

Author:

Liu Liu¹^ORCID,Ding Zhijun¹^ORCID,Cheng Dazhao²^ORCID,Zhou Xiaobo³^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tongji University, Shanghai, China

2. School of Computer Science, Wuhan University, Wuhan, Hubei, China

3. IOTSC Lab and Department of Computer and Information Science, University of Macau, Macau, China

Funder

Science and Technology Development Fund, Macao S.A.R

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6245519/10551658/10384826.pdf?arnumber=10384826

Reference60 articles.

1. Sinan: ML-based and QoS-aware resource management for cloud microservices

2. Prediction-based power oversubscription in cloud platforms;Kumbhare

3. Oort: Efficient federated learning via guided participant selection;Lai

4. Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs

5. Clairvoyant prefetching for distributed machine learning I/O

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