Limitations and future aspects of communication costs in federated learning: A survey
M Asad, S Shaukat, D Hu, Z Wang, E Javanmardi… - Sensors, 2023 - mdpi.com
This paper explores the potential for communication-efficient federated learning (FL) in
modern distributed systems. FL is an emerging distributed machine learning technique that …
modern distributed systems. FL is an emerging distributed machine learning technique that …
Federated learning for efficient spectrum allocation in open RAN
M Asad, S Otoum - Cluster Computing, 2024 - Springer
In the evolving landscape of Open Radio Access Networks (Open RAN), the dynamic and
unpredictable nature of network conditions presents significant challenges for traditional …
unpredictable nature of network conditions presents significant challenges for traditional …
Edge Computing for the Metaverse: Balancing Security and Privacy Concerns
M Asad, S Otoum, O Al Fandi - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Recent advances in edge computing develop novel solutions to the existing limitations of
Metaverse. However, those advances require massive data that introduces new security and …
Metaverse. However, those advances require massive data that introduces new security and …
[PDF][PDF] 3FL: Seleçao de Clientes Mais Rápidos para Aumento de Desempenho do Aprendizado Federado Cross-Device
K Bochie, M Sammarco, MEM Campista - gta.ufrj.br
Este trabalho propoe uma nova técnica para melhorar o desempenho do aprendizado
federado e reduzir a latência total de treinamento. A proposta, chamada Fastest-First …
federado e reduzir a latência total de treinamento. A proposta, chamada Fastest-First …