Real-World Implementation and Performance Analysis of Distributed Learning Frameworks for 6G IoT Applications
David Naseh,
Mahdi Abdollahpour,
Daniele Tarchi
Abstract:This paper explores the practical implementation and performance analysis of distributed learning (DL) frameworks on various client platforms, responding to the dynamic landscape of 6G technology and the pressing need for a fully connected distributed intelligence network for Internet of Things (IoT) devices. The heterogeneous nature of clients and data presents challenges for effective federated learning (FL) techniques, prompting our exploration of federated transfer learning (FTL) on Raspberry Pi, Odroid, a… Show more
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