Generative Artificial Intelligence and Distributed Learning: A Short Survey
| dc.contributor.author | Miriam Makeba | |
| dc.date.accessioned | 2024-08-27T20:39:47Z | |
| dc.date.available | 2024-08-27T20:39:47Z | |
| dc.date.issued | 2024-08-15 | |
| dc.description.abstract | Generative Artificial Intelligence (GenAI) and Distributed Learning have gained significant attention in recent years, driven by their vast applica tions across various domains. This survey provides an overview of recent advancements in GenAI applications, particularly focusing on the integra tion of GenAI with distributed learning paradigms. We discuss the latest trends, challenges, and future directions, highlighting key contributions from recent literature. Our survey aims to provide researchers and practitioners with insights into the current state of GenAI and distributed learning, offer ing a comprehensive understanding of their potential to drive innovation in various fields. | |
| dc.identifier.uri | https://africarxiv.ubuntunet.net/handle/1/1643 | |
| dc.identifier.uri | https://doi.org/10.60763/africarxiv/1528 | |
| dc.title | Generative Artificial Intelligence and Distributed Learning: A Short Survey |