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InfoResearchPeer-reviewed
An Empirical Study of Federated Learning on IoT–Edge Devices: Resource Allocation and Heterogeneity
- Published
- Record updated
Summary
This empirical study runs federated learning experiments on a large network of real IoT and edge devices, rather than in simulation or small testbeds. It measures learning performance and the computation and communication costs of on-device FL, with a focus on heterogeneous scenarios. The authors aim to show the practical feasibility of FL in realistic environments.