InArt: In-Network Aggregation with Route Selection for Accelerating Distributed Training
Deep learning has brought about a revolutionary transformation in network applications,
particularly in domains like e-commerce and online advertising. Distributed training (DT), as …
particularly in domains like e-commerce and online advertising. Distributed training (DT), as …
Online Scheduling and Pricing for Multi-LoRA Fine-Tuning Tasks
Fine-tuning pre-trained models with task-specific data can produce customized models
effective for downstream tasks. However, operating large-scale such fine-tuning tasks in real …
effective for downstream tasks. However, operating large-scale such fine-tuning tasks in real …
Proactive, Accuracy-aware Straggler Mitigation in Machine Learning Clusters
Slower workers, known as stragglers, can signifi-cantly prolong training time in Machine
Learning (ML) clusters. We present SMS, a proactive straggler mitigation system with four …
Learning (ML) clusters. We present SMS, a proactive straggler mitigation system with four …