About
Contact & Profiles
A5055870721
Research Areas
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
Sun Yat-sen University
2022
Federated learning allows multiple participants to collaboratively train an efficient model without exposing data privacy. However, this distributed machine training method is prone attacks from Byzantine clients, which interfere with the of global by modifying or uploading false gradient. In paper, we propose a novel serverless federated framework Committee Mechanism based Learning (CMFL), can ensure robustness algorithm convergence guarantee. CMFL, committee system set up screen uploaded...
10.1109/tpds.2022.3202887
article
EN
IEEE Transactions on Parallel and Distributed Systems
2022-08-31
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