Mario Chahoud

Orcid: 0000-0002-6070-3133

According to our database1, Mario Chahoud authored at least 8 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning.
CoRR, 2024

Trust Driven On-Demand Scheme for Client Deployment in Federated Learning.
CoRR, 2024

2023
On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme.
IEEE Internet Things J., September, 2023

On the feasibility of Federated Learning towards on-demand client deployment at the edge.
Inf. Process. Manag., 2023

The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions.
CoRR, 2023

Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Towards Trust Driven On-Demand Client Deployment in Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme.
CoRR, 2022


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