Software Benchmark Artifact

Dynamic Tiering-Based Federated Learning (DTFL)

Seyed Mahmoud Sajjadi Mohammadabadi
Open Source Artifact • 2024 Reproducibility Suite | Cited in IEEE IoT-J 2025

Abstract

Open-source benchmark suite implementing dynamic client tiering, straggler-resilient scheduling, and non-IID partitioning across simulated heterogeneous edge clusters. Cited in IEEE Internet of Things Journal 2025.

BibTeX Citation

@misc{sajjadi2024dtfl,
  title        = {Dynamic Tiering-Based Federated Learning ({DTFL})},
  author       = {Sajjadi Mohammadabadi, Seyed Mahmoud},
  year         = {2024},
  howpublished = {\url{https://github.com/mahmoudsajjadi/DTFL}}
}

Author Profile

🧠

Seyed Mahmoud Sajjadi Mohammadabadi, Ph.D.

AI Systems Researcher • University of Nevada, Reno • Connected Future Labs

Google Scholar (430+ Citations) • LinkedIn • GitHub (@mahmoudsajjadi) • ORCID

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