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researcher

Joshua D. Suetterlein

3 papers hereh-index 8328 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedMAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers

13 citations · 14 across the 3 of their papers we have counts for

collaborators
Showing cs.DCShow all

2 papers · 1 filter

cs.DC2025

Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection

William Marfo, Deepak Tosh, Shirley Moore +2

Communication overhead in federated learning (FL) poses a significant challenge for network anomaly detection systems, where diverse client configurations and network conditions im…

cs.DC2021★ 13 cited

MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers

Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano +2

Multi-accelerator servers are increasingly being deployed in shared multi-tenant environments (such as in cloud data centers) in order to meet the demands of large-scale compute-in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.