1. Abadi, M., et al.: TensorFlow: Large-scale machine learning on heterogeneous systems (2015). https://www.tensorflow.org
2. Awan, S., Li, F., Luo, B., Liu, M.: Poster: a reliable and accountable privacy-preserving federated learning framework using the blockchain. In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, pp. 2561–2563. CCS 2019, Association for Computing Machinery, New York, NY, USA (2019)
3. Benet, J.: IPFS - content addressed, versioned, p2p file system (2014)
4. Cai, H., Rueckert, D., Passerat-Palmbach, J.: 2CP: decentralized protocols to transparently evaluate contributivity in blockchain federated learning environments (2020)
5. Cao, M., Zhang, L., Cao, B.: Toward on-device federated learning: a direct acyclic graph-based blockchain approach. IEEE Trans. Neural Netw. Learn. Syst. 1–15 (2021)