Zahra Ghodsi

SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud

2017 · arXiv (Cornell University)

Inference using deep neural networks is often outsourced to the cloud since it is a computationally demanding task. However, this raises a fundamental issue of trust. How can a client be sure that the cloud …

AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs

2023

Distributed GNN training on contemporary massive and densely connected graphs requires information aggregation from all neighboring nodes, which leads to an explosion of inter-server communications. This paper proposes AdaGL, a highly scalable end-to-end framework for …