NestFL: Enhancing Federated Learning Through Nested Multicapacity Model Pruning in Heterogeneous Edge Computing
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DOI: 10.1109/jiot.2025.3562633
Abstract: Federated learning (FL) has emerged as a pivotal approach for edge-based distributed machine learning, yet it faces significant challenges due to the constrained capacities and heterogeneity of edge devices, including non-IID data distribution, communication constraints,… read more here.
Keywords: nestfl enhancing; edge; edge computing; model pruning ... See more keywords