Service Selection Based on Bat Algorithm in Hybrid Cloud-Edge Computing
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China
2. Tianjin Electronic Information College,Tianjin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9807682/9807690/09807801.pdf?arnumber=9807801
Reference20 articles.
1. A multiple gradient descent design for multi-task learning on edge computing: Multi-objective machine learning approach;zhou;IEEE Transactions on Network Science and Engineering,2021
2. Asynchronous Variance Reduced SGD with Momentum Tuning in Edge Computing
3. Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
4. Improved Affine Projection Algorithms with Momentum Term
5. Accelerated Distributed Nesterov Gradient Descent
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