A Peer-to-Peer Payment System for Federated Learning
- Data (Transaction, Block, ChainStructure, etc.)
- Network (Message, P2P, etc.)
- Consensus (Consensus, PoSap, etc.)
- Incentive
- Contract
- Application (Application, FedCoin, etc.)
To build and run FedCoin, you must ensure the following software or package(s) are installed in your experimental computer(s):
- Docker (Mirror: TUNA)
- Python 3.7
- TensorFlow 2.3.0 (Mirror: Google China)
Moreover, Linux distribution like Ubuntu 16.04.7 LTS is recommended as the operating system. Anaconda (Mirror: TUNA) is recommended as the environment manager. Run the conda create -n fedcoin python=3.5 tensorflow-gpu command, and the python -m pip install docker command in new created fedcoin environment could easily get a basic running environment.
Run the following codes in the Python environment to generate weights:
from blockchain.application.fedcoin import FedCoin FedCoin.run_fl_server()
Parameters are defined in blockchain/util/settings.py, which are showed as follows:
| Parameter | Description | Type | Range | Default |
|---|---|---|---|---|
| K | Number of FL clients | int | [2, inf] | 20 |
| R | Number of replicas (miners) | int | [2, inf] | 2 |
| D | Difficulty in mining | float | [0.0, inf] | 1.5 |
| PRICE | Amount of FedCoins as rewards | float | [0.0, inf] | 1000.0 |
| RUNTIME | Time to mine in a round | float | [0.0, inf] | 15.0 |
| TRAIN_PRICE | Payments to the FL clients | float | [0.0, 1.0] | 0.7 |
| COM_PRICE | Payments to the FL server for processing the model aggregation | float | [0.0, 1.0] | 0.1 |
| SAP_PRICE | Payments yo the blockchain network miners for calculating SV | float | [0.0, 1.0] | 0.2 |
Note: The condition "TRAIN_PRICE + COM_PRICE + SAP_PRICE = 1" should be satisfied.
The shell code python main.py will build fedcoin and fedcoin_lw images, and run several fedcoin containers that matches the number of replicas defined in settings.
Run docker run fedcoin_lw will start publishing tasks.
The batch file clean.sh will stop and delete containers, as well as delete images that are untagged.
- Yuan Liu, Zhengpeng Ai, Shuai Sun, Shuangfeng Zhang, Zelei Liu, Han Yu. FedCoin: A Peer-to-Peer Payment System for Federated Learning. In Book "Federated Learning: Privacy and Incentive" (DOI:10.1007/978-3-030-63076-8_9)
- Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu. FedCoin: A Peer-to-Peer Payment System for Federated Learning. In arXiv (arXiv:2002.11711)