nhatminh / FEDL

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

FEDL over Wireless Networks

This repository is a simulation code for the paper

Canh Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli "Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation". https://arxiv.org/abs/1910.13067

Please run the code in julia folder

FEDL for multiple services

Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong "Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks," https://arxiv.org/abs/2011.12469

We use Julia version 1.0. Please run the code in multi-services folder

All of Figures will be generated in figs folder.

Main.jl will includes 5 files

• "Setting.jl"
• "TrafficGen.jl"
• "Solving1.jl"
• "Utils.jl"
• "Plots_Figs.jl"/"Plots_Figs1.jl"

Several Setting config parameters as 
if(NUMERICAL_RS)
    # Result for Section V: NUMERICAL RESULTS
    include("Plots_Figs1.jl")
else
    # Result for Section IV: Closed-Form solution
    include("Plots_Figs.jl")
end


READ_RESULT = true		# Read results from result files
NUMERICAL_RS = true     # Result for Section V: NUMERICAL RESULTS in the paper (50 devs)
# NUMERICAL_RS = false  # Result for Section IV: Closed-Form solution in the paper (5 devs)

We apply the Federated Learning code from https://github.com/shaoxiongji/federated-learning