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M. Rahouti

4 papers hereh-index 171.1k citations67 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.LG2
same name
  • M. Rahouti — 4 papers, h 3
  • M. Rahouti — 2 papers, h 2
  • M. Rahouti — 2 papers, h 2
  • M. Rahouti — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEnabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

28 citations · 36 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024★ 28 cited

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi +3

Federated Learning (FL) represents a paradigm shift in machine learning, allowing collaborative model training while keeping data localized. This approach is particularly pertinent…

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