FedAVE: Adaptive Data Value Evaluation Framework for Collaborative Fairness in Federated Learning

This repository is an implementation of the collaborative fairness of federated learning algorithm (under review).

First

Run the command below to get the splited dataset MNIST:

python generate_fedtask.py --dataset mnist --dist 0 --skew 0 --num_clients 10

Second

Run the command below to qucikly get a result of the basic algorithm FedAVE on MNIST with a simple MLP:

python main.py --task mnist_cnum10_dist18_skew0.0_seed0 --model mlp --algorithm FedAVE --num_rounds 20
--num_epochs 3 --learning_rate 0.15 --batch_size 32 --eval_interval 1 --Beta 5 --gpu 0