BalanceNet Orchestrator: A KQV-based Dynamic Task Allocation for Distributed Deep Learning
Author:
Affiliation:
1. Kyung Hee University,Department of Artificial Intelligence,Yongin-si,South Korea
2. Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10572035/10572030/10572141.pdf?arnumber=10572141
Reference22 articles.
1. Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
2. Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
3. Minibatch vs local sgd for heterogeneous distributed learning;Woodworth;Advances in Neural Information Processing Systems,2020
4. Tictac: Accelerating distributed deep learning with communication scheduling;Hashemi
5. Robust federated learning in a heterogeneous environment;Ghosh,2019
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