2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.NI2025
PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers
Ashkan Sobhani, Sogand Sadrhaghighi, Xingjun Chu
Large-scale distributed training in production data centers place significant demands on network infrastructure. In particular, significant load balancing challenges arise when pro…
cs.LG2023★ 2 cited
On the Burstiness of Distributed Machine Learning Traffic
Natchanon Luangsomboon, Fahimeh Fazel, Jörg Liebeherr +3
Traffic from distributed training of machine learning (ML) models makes up a large and growing fraction of the traffic mix in enterprise data centers. While work on distributed ML…