On Leveraging FemtoClouds for Federated Learning

Article Properties
  • DOI (url)
    10.1109/iotm.001.2100136
  • Publication Date
    2022/09/01
  • Journal
    IEEE Internet of Things Magazine
  • Indian UGC (journal)
  • Refrences
    15
  • Hend Gedawy School of Computer Science at Carnegie Mellon University,Qatar
  • Khaled A. Harras School of Computer Science at Carnegie Mellon University,Qatar
  • Aiman Erbad College of Science and Engineering at Hamad Bin Khalifa University,Qatar
Cite
Gedawy, Hend, et al. “On Leveraging FemtoClouds for Federated Learning”. IEEE Internet of Things Magazine, vol. 5, no. 3, 2022, pp. 68-75, https://doi.org/10.1109/iotm.001.2100136.
Gedawy, H., Harras, K. A., & Erbad, A. (2022). On Leveraging FemtoClouds for Federated Learning. IEEE Internet of Things Magazine, 5(3), 68-75. https://doi.org/10.1109/iotm.001.2100136
Gedawy H, Harras KA, Erbad A. On Leveraging FemtoClouds for Federated Learning. IEEE Internet of Things Magazine. 2022;5(3):68-75.
Refrences
Title Journal Journal Categories Citations Publication Date
Social Media Use Continues to Rise in Developing Countries But Plateaus Across Developed Ones 2018
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints 2020
Heterofl: Computation and Communication Efficient Federated Learning for Heterogeneous Clients 2020
Towards Federated Learning at Scale: System Design 2019
Towards Federated Learning at Scale: System Design 2018