1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Dependable Distributed Training of Compressed Machine Learning Models
Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato +1
The existing work on the distributed training of machine learning (ML) models has consistently overlooked the distribution of the achieved learning quality, focusing instead on its…
cs.NI2022★ 1 cited
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
Francesco Malandrino, Carla Fabiana Chiasserini, Giuseppe Di Giacomo
In the mobile-edge-cloud continuum, a plethora of heterogeneous data sources and computation-capable nodes are available. Such nodes can cooperate to perform a distributed learning…