1. Incentive mechanism design for federated learning: Challenges and opportunities;Zhan;IEEE Netw.,2021
2. (2017, April 06). Federated Learning: Collaborative Machine Learning without Centralized Training Data. Available online: https://ai.googleblog./com/2017/04/federated-learning-collaborative.html.
3. Hard, A., Rao, K., Mathews, R., Ramaswamy, S., Beaufays, F., Augenstein, S., Eichner, H., Kiddon, C., and Ramage, D. (2018). Federated learning for mobile keyboard prediction. arXiv.
4. McMahan, B., Moore, E., Ramage, D., Hampson, S., and Arcas, B.A. (2017, January 20–22). Communication-efficient learning of deep networks from decentralized data. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA.
5. A survey of incentive mechanism design for federated learning;Zhan;IEEE Trans. Emerg. Top. Comput.,2021