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Harnessing the Synergy: Federated Learning Meets Edge Computing in 5G Ecosystems
  • Elizabeth Ango Fomuso Ekellem
Elizabeth Ango Fomuso Ekellem
Computer Science and Engineering Applied, University of Cologne Gummersbach

Corresponding Author:[email protected]

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In the era of rapid digital transformation, the integration of Federated Learning (FL) with Edge Computing in 5G networks emerges as a pivotal innovation, offering a new paradigm for data processing and intelligence distribution. This paper delves into the core concepts of FL and its symbiotic relationship with Edge Computing within 5G infrastructures. We examine the unique challenges such as data privacy, computational resource management, and network reliability, alongside the dynamic opportunities that this integration presents. Through a comprehensive review of current research and developments, this study not only highlights the technological advancements but also sheds light on the socioeconomic impacts of FL in 5G Edge Computing. By offering perspectives from both industry and academia, the paper aims to chart a course for future research and implementation strategies, paving the way for a more connected and intelligent world.
10 Jan 2024Submitted to TechRxiv
22 Jan 2024Published in TechRxiv