About
Contact & Profiles
A5052937153
Research Areas
- Internet Traffic Analysis and Secure E-voting
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
Jiangxi University of Science and Technology
2022-2024
10.1145/3718491.3718621
article
EN
2024-12-27
10.1145/3718491.3718604
article
2024-12-27
Federated learning is a method of distributed machine based on privacy protection, which characterized by large number heterogeneous clients, and often these clients have great differences in communication computation capabilities, such as servers smartphones. In this work, we propose new federated algorithm named AAFL, asynchronous can adaptively assign training models the capabilities different to solve efficiency problems caused clients. Our proposed solution with computational complexity...
10.1109/cis58238.2022.00090
article
EN
2021 17th International Conference on Computational Intelligence and Security (CIS)
2022-12-01
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