Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering

Nature·Nov 20

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Research is being conducted on adaptive federated learning for resource-constrained internet of things (iot) devices, with a focus on edge intelligence and multi-edge clustering. Various frameworks and protocols are being developed, including those that incorporate differential privacy, spiking neural networks, and blockchain technology, to support applications such as audio processing and medical things. The goal of these efforts appears to be improving the security, privacy, and efficiency of iot devices and networks.

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