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Ihab Mohammed

4 papers hereh-index 8224 citations12 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.LG2
  • cs.DC1
  • cs.NI1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.LG2020

Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning

Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha +4

Machine Learning (ML), and Deep Learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques however suffer from privacy and securit…

cs.LG2020

Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services

Basheer Qolomany, Ihab Mohammed, Ala Al-Fuqaha +2

With Machine Learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all-important. In…

cs.NI2019

Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud

Shadha Tabatabai, Ihab Mohammed, Ala Al-Fuqaha +1

The Internet of Things (IoT) revolution and the development of smart communities have resulted in increased demand for bandwidth due to the rise in network traffic. Instead of inve…

cs.DC2019

Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure

Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha +1

Interest in smart cities is rapidly rising due to the global rise in urbanization and the wide-scale instrumentation of modern cities. Due to the considerable infrastructural cost…

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