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Oct 8, 2023 · We propose in this paper a lifelong learning framework for these agents, where lightweight inference models are used during deployment to minimize action delay.
Oct 8, 2023 · Abstract—Fog computing emerged as a promising paradigm to address the challenges of processing and managing data.
Oct 20, 2023 · Maad Ebrahim, Abdelhakim Senhaji Hafid, Mohamed Riduan Abid: Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach.
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Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach. M Ebrahim, AS Hafid, MR Abid. arXiv preprint arXiv:2310.05187, 2023. 1, 2023.
May 24, 2024 · These agents use transfer learning for life-long self-adaptation to dynamic changes in the environment. By leveraging distributed decision- ...
This paper presents a general lifelong simultaneous localization and mapping (SLAM) framework. Our framework uses a multiple session map representation.
Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach · Maad EbrahimA. HafidMohamed Riduan Abid. Computer Science, Engineering. ArXiv. 2023.
The article contains the year-wise comprehensive review and summary of research articles published in the area of load balancing from 2013 to 2020.
Load balancing between fog and cloud in fog of things based ...
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This paper presents a solution for the need to execute load balancing for the Fog of Things Platforms (in the Fog, and between Fog and Cloud)
May 28, 2024 · This paper introduces the Hybrid Offloading (HybOff) algorithm, which substantially enhances load balancing and resource utilization in fog networks.
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