7 citations · 8 across the 3 of their papers we have counts for
3 papers
A House United Within Itself: SLO-Awareness for On-Premises Containerized ML Inference Clusters via Faro
Beomyeol Jeon, Chen Wang, Diana Arroyo +2
This paper tackles the challenge of running multiple ML inference jobs (models) under time-varying workloads, on a constrained on-premises production cluster. Our system Faro takes…
Baechi: Fast Device Placement of Machine Learning Graphs
Beomyeol Jeon, Linda Cai, Chirag Shetty +6
Machine Learning graphs (or models) can be challenging or impossible to train when either devices have limited memory, or models are large. To split the model across devices, learn…
Privacy-preserving Decentralized Aggregation for Federated Learning
Beomyeol Jeon, S. M. Ferdous, Muntasir Raihan Rahman +1
Federated learning is a promising framework for learning over decentralized data spanning multiple regions. This approach avoids expensive central training data aggregation cost an…