127 citations · 461 across the 65 of their papers we have counts for
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cs.DC2020
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal +2
Machine learning (ML) tasks are becoming ubiquitous in today's network applications. Federated learning has emerged recently as a technique for training ML models at the network ed…
cs.DC2020★ 6 cited
Network-Aware Optimization of Distributed Learning for Fog Computing
Su Wang, Yichen Ruan, Yuwei Tu +3
Fog computing promises to enable machine learning tasks to scale to large amounts of data by distributing processing across connected devices. Two key challenges to achieving this…