André Bauer

Performance-Feedback Autoscaling with Budget Constraints for Cloud-based\n Workloads of Workflows

2019 · arXiv (Cornell University)

The growing popularity of workflows in the cloud domain promoted the\ndevelopment of sophisticated autoscaling policies that allow automatic\nallocation and deallocation of resources. However, many state-of-the-art\nautoscaling policies for workflows are mostly plan-based or designed for\nbatches (ensembles) …

Tournament-Based Pretraining to Accelerate Federated Learning

2023

Advances in hardware, proliferation of compute at the edge, and data creation at unprecedented scales have made federated learning (FL) necessary for the next leap forward in pervasive machine learning. For privacy and network reasons, …