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Correction

Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452

1
Department of Computer Science, Comsats University Islamabad, Abbottabad Campus, Islamabad 22060, Pakistan
2
Institute of International Education, Huanghuai University, Zhumadian 463000, China
*
Authors to whom correspondence should be addressed.
Electronics 2025, 14(19), 3751; https://doi.org/10.3390/electronics14193751
Submission received: 4 September 2025 / Accepted: 8 September 2025 / Published: 23 September 2025
In the original publication [1], the citation referring to reference 37 in the manuscript has been retracted. Concerns were raised on this matter, and the following reference was removed from the reference list:
Malarvizhi, N.; Aswini, J.; Sasikala, S.; Chakravarthy, M.H.; Neeba, E.A. Multi-parameter optimization for load balancing with effective task scheduling and resource sharing. J. Ambient. Intell. Humaniz. Comput. 2021, 13, 75.
Due to the removal of reference [37], subsequent references and the corresponding citations in the main text have been adjusted to align with numerical order. Table 1 is also updated accordingly.
The authors clarify that the scientific conclusions remain unchanged despite the removal of reference 37 from the manuscript. They assert that references 38–40 sufficiently support their points, ensuring the integrity of their findings.
These corrections have been approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Zhou, S.; Jadoon, W.; Khan, I.A. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. [Google Scholar] [CrossRef]
Table 1. Comparison of computer offloading schemes.
Table 1. Comparison of computer offloading schemes.
AlgorithmRef.GranularitiesObjectiveResearch Contents
GWO[35]Full offloadingDelay & energyUsed GWO’s natural heuristic approach to achieve optimal solutions
ACO[36]Partial offloadingEnergyProposed QoS based resource allocation and scheduling has used swarm-based ant colony optimization provide more predictable results
GA[37]Partial offloadingEnergyProposed an adaptive particle swarm optimization algorithm based on genetic algorithm operator
Q-Learning[38]Partial offloadingDelayProposed a deep Q-learning based autonomic management framework
DRL[39]Partial offloadingDelayProposed a new DRL-based online computing offloading scheme that considers both blockchain data mining tasks and data processing tasks
FL & DRL[40]Partial offloadingDelay & energyProposed FL-combined DRL to optimize the computational offloading scheme and edge content cache in MEC system and adopt DDQN method
FL[41]Partial offloadingDelay & energyProposed a FL-based approach to train preference models while retaining user data on their personal devices
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MDPI and ACS Style

Zhou, S.; Jadoon, W.; Khan, I.A. Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. Electronics 2025, 14, 3751. https://doi.org/10.3390/electronics14193751

AMA Style

Zhou S, Jadoon W, Khan IA. Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. Electronics. 2025; 14(19):3751. https://doi.org/10.3390/electronics14193751

Chicago/Turabian Style

Zhou, Shuchen, Waqas Jadoon, and Iftikhar Ahmed Khan. 2025. "Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452" Electronics 14, no. 19: 3751. https://doi.org/10.3390/electronics14193751

APA Style

Zhou, S., Jadoon, W., & Khan, I. A. (2025). Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. Electronics, 14(19), 3751. https://doi.org/10.3390/electronics14193751

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