Cost-Aware Neural Network Splitting and Dynamic Rescheduling for Edge Intelligence

Author:

Luger Daniel1ORCID,Aral Atakan21ORCID,Brandic Ivona3ORCID

Affiliation:

1. University of Vienna, Vienna, Austria

2. Umeå University, Umeå, Sweden

3. Vienna University of Technology, Vienna, Austria

Funder

CHIST-ERA

FWF

FFG

Publisher

ACM

Reference15 articles.

1. FedCD: Personalized Federated Learning via Collaborative Distillation

2. AWS. 2023. On-Demand Plans for Amazon EC2. Retrieved 2023-02-22 from https://aws.amazon.com/ec2/pricing/on-demand/ AWS. 2023. On-Demand Plans for Amazon EC2. Retrieved 2023-02-22 from https://aws.amazon.com/ec2/pricing/on-demand/

3. Simon Séhier Bert Hubert Jacco Geul. 2021. The Wonder Shaper. Retrieved 2023-02-22 from https://github.com/magnific0/wondershaper Simon Séhier Bert Hubert Jacco Geul. 2021. The Wonder Shaper. Retrieved 2023-02-22 from https://github.com/magnific0/wondershaper

4. Deep neural network concepts for background subtraction:A systematic review and comparative evaluation

5. Cisco. 2020. Cisco Annual Internet Report (2018--2023) White Paper. Retrieved 2022-12-21 from https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html Cisco. 2020. Cisco Annual Internet Report (2018--2023) White Paper. Retrieved 2022-12-21 from https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html

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