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researcher

Mario Chahoud

2 papers hereh-index 5160 citations10 works total

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

author position
  • first author2

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

fields
  • cs.AI1
  • cs.CR1

identity via Semantic Scholar / OpenAlex

most citedON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024

Trust Driven On-Demand Scheme for Client Deployment in Federated Learning

Mario Chahoud, Azzam Mourad, Hadi Otrok +2

Containerization technology plays a crucial role in Federated Learning (FL) setups, expanding the pool of potential clients and ensuring the availability of specific subsets for ea…

cs.AI2022★ 1 cited

ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme

Mario Chahoud, Hani Sami, Azzam Mourad +4

In this paper, we increase the availability and integration of devices in the learning process to enhance the convergence of federated learning (FL) models. To address the issue of…

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