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cs.DC2024
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning
Dong Chen, Alice Dethise, Istemi Ekin Akkus +6
A collaboration between dataset owners and model owners is needed to facilitate effective machine learning (ML) training. During this collaboration, however, dataset owners and mod…
cs.LG2024
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation
Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding +1
We propose NeuronaBox, a flexible, user-friendly, and high-fidelity approach to emulate DNN training workloads. We argue that to accurately observe performance, it is possible to e…