MMDFL: Multi-Model-based Decentralized Federated Learning for Resource-Constrained AIoT Systems

Along with the prosperity of Artificial Intelligence (AI) techniques, more and more Artificial Intelligence of Things (AIoT) applications adopt Federated Learning (FL) to enable collaborative learning without compromising the privacy of devices. Since existing centralized FL methods suffer from the...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Yan, Dengke, Yang, Yanxin, Hu, Ming, Fu, Xin, Chen, Mingsong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	AIoT decentralized federated learning Faces Federated learning Internet of Things Knowledge engineering multi-model learning Peer-to-peer computing Performance evaluation Privacy resource-constrained Servers stochastic gradient descent Stochastic processes Training
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