27 citations · 65 across the 10 of their papers we have counts for
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stat.ML2019★ 5 cited
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
Igor Colin, Ludovic Dos Santos, Kevin Scaman
We investigate the theoretical limits of pipeline parallel learning of deep learning architectures, a distributed setup in which the computation is distributed per layer instead of…
cs.NI2019
Parallel Contextual Bandits in Wireless Handover Optimization
Igor Colin, Albert Thomas, Moez Draief
As cellular networks become denser, a scalable and dynamic tuning of wireless base station parameters can only be achieved through automated optimization. Although the contextual b…