When Blockchain Meets Asynchronous Federated Learning

Author:

Jing RuiORCID,Chen WeiORCID,Wu XiaoxinORCID,Wang Zehua,Tian Zijian,Zhang Fan

Publisher

Springer Nature Singapore

Reference21 articles.

1. Chui, M., Collins, M., Patel, M.: The Internet of Things: catching up to an accelerating opportunity (2021)

2. Toyoda, K., Zhang, A.N.: Mechanism design for an incentive-aware blockchain-enabled federated learning platform. In: Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 9–12 Dec. 2019 (2019)

3. Tang, Y.M., Zhang, Y.T., Niu, T., et al.: A survey on blockchain-based federated learning: categorization, application and analysis. Cmes-Comput. Model. Eng. Sci. (2024)

4. Nguyen, J., Malik, K., Zhan, H., et al.: Federated learning with buffered asynchronous aggregation. In: Proceedings of the International Conference on Artificial Intelligence and Statistics, PMLR (2022)

5. Xie, C., Koyejo, S., Gupta, I., et al.: Asynchronous federated optimization (2019)

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