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.

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.

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)

Missing: Lifelong | Show results with:Lifelong