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Michael Mollel

2 papers hereh-index 12 citations8 works total

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author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.SY1

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026

Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation

Kenechi Omeke, Michael Mollel, Lei Zhang +2

Anomaly detection is a core service in the Internet of Underwater Things, yet training accurate distributed models underwater is difficult because acoustic links are low-bandwidth,…

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