1. Deng, S., Zhao, H., Fang, W., Yin, J., Dustdar, S., Zomaya, A.Y.: Edge intelligence: the confluence of edge computing and artificial intelligence. IEEE Internet Things J. 7(8), 7457–7469 (2020)
2. Gou, J., Yu, B., Maybank, S.J., Tao, D.: Knowledge distillation: a survey. Int. J. Comput. Vision 129, 1789–1819 (2021)
3. He, C., Annavaram, M., Avestimehr, S.: Group knowledge transfer: federated learning of large CNNs at the edge. Adv. Neural. Inf. Process. Syst. 33, 14068–14080 (2020)
4. Kaissis, G.A., Makowski, M.R., Rückert, D., Braren, R.F.: Secure, privacy-preserving and federated machine learning in medical imaging. Nat. Mach. Intell. 2(6), 305–311 (2020)
5. Lalitha, A., Shekhar, S., Javidi, T., Koushanfar, F.: Fully decentralized federated learning. In: Third Workshop on Bayesian Deep Learning (NeurIPS), vol. 2 (2018)