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cs.LG2023
iDML: Incentivized Decentralized Machine Learning
Haoxiang Yu, Hsiao-Yuan Chen, Sangsu Lee +3
With the rising emergence of decentralized and opportunistic approaches to machine learning, end devices are increasingly tasked with training deep learning models on-devices using…
cs.LG2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee, Xi Zheng, Jie Hua +2
Pervasive computing applications commonly involve user's personal smartphones collecting data to influence application behavior. Applications are often backed by models that learn…