Advances in Machine Learning & Artificial Intelligence(AMLAI)

Computer Science and Engineering, Faculty of Electronic Engineering, 31734, Menoufia, Egypt

Publications

• Research Article   
  Enhancing Federated Learning Security, Scalability, and Future Incentives
  Author(s): Tharwat EL-Sayed*, Mohamed Elrashidy, Ayman EL-Sayed and Abdullah N. Moustafa
  
  This study delves into the integration of Storj and blockchain technology within the context of federated learning (FL) and its implications for scalability and efficiency. By leveraging blockchain, we aimed to bolster security and transparency, while also addressing storage challenges through the integration of Incremental Learning. Our findings revealed that while the utilization of Storj led to marginally higher federated server storage requirements compared to local storage, particularly as the number of clients increased, there was also a slight increase in the time required for the federated learning process when Storj was integrated, especially with a larger number of clients... Read More»
  

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