2 papers
cs.DC2020
Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks
Luke Lockhart, Paul Harvey, Pierre Imai +2
Partitioning and distributing deep neural networks (DNNs) across end-devices, edge resources and the cloud has a potential twofold advantage: preserving privacy of the input data,…
cs.SE2013
Designing Run-Time Environments to Have Predefined Global Dynamics
Massimo Monti, Pierre Imai, Christian Tschudin
The stability and the predictability of a computer network algorithm's performance are as important as the main functional purpose of networking software. However, asserting or der…