# FedLearning

**Repository Path**: jerry-cat/fed-learning

## Basic Information

- **Project Name**: FedLearning
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-12-23
- **Last Updated**: 2025-04-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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
```

### FedSAC-mlp 
```
python main.py --task cifar10_cnum10_dist18_skew0.5_seed0 --model mlp --algorithm FedSAC-mlp --num_rounds 20 
--num_epochs 15 --learning_rate 0.03 --batch_size 32 --Beta 3 --gpu 0 
--contributions 0.3313 0.3891 0.3795 0.4108 0.4009 0.403 0.4143 0.4111 0.4025 0.396
```