354 citations · 372 across the 2 of their papers we have counts for
2 papers
cs.IR2020★ 18 cited
Check-N-Run: A Checkpointing System for Training Deep Learning Recommendation Models
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram +5
Checkpoints play an important role in training long running machine learning (ML) models. Checkpoints take a snapshot of an ML model and store it in a non-volatile memory so that t…
cs.LG2020★ 354 cited
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He, Songze Li, Jinhyun So +17
Federated learning (FL) is a rapidly growing research field in machine learning. However, existing FL libraries cannot adequately support diverse algorithmic development; inconsist…