The proposed model focuses on updates scheduling and takes into consideration the optimal decision time for minimizing the network overhead. At the same time it ...
The proposed model focuses on updates scheduling and takes into consideration the optimal decision time for minimizing the network overhead. At the same time it ...
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Apr 17, 2019 · We provide an estimate of the optimal stopping time in Problem 1 as stated in the Theorem 1.
Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach. 1. Page 2. Problem Statement. ❑Internet of Things system: ❑Edge Sensors.
Anagnostopoulos, K. Kolomvatsos, 'Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach', in 18th IEEE International Symposium ...
Kolomvatsos, 'Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach', in 18th IEEE International Symposium on Parallel and ...
This survey delves into Edge Learning (EL), specifically the optimization of ML model training at the edge. The objective is to comprehensively explore diverse ...
Missing: Stopping | Show results with:Stopping
Feb 13, 2024 · The article presents a secure edge computing model that utilizes machine learning for intrusion detection and isolation.
Apr 24, 2024 · Optimal Stopping Theory is used in virtual mobile edge computing for the best service offloading (OST). To support the use case, a service ...
This paper presents an auto-scaling subsystem for container-based processing services using online machine learning. The auto-scaling follows the MAPE-K control ...
Missing: Optimal Stopping Theory