Summary of a thesis section combining Federated Learning and Edge Computing.
This project focuses on the combination of Federated Learning (FL) and Edge Computing, a topic covered in the following translated sections of the thesis:
- Section 1.1: Edge Computing
- Section 1.2: Federated Learning
- Section 1.3: Federated Learning and Edge Computing
PS:Currently, only the theoretical analysis of federated learning and edge computing is available. The experimental results and implementation code will be gradually added.
As edge devices grow in importance, the fusion of FL and edge computing becomes vital for balancing privacy, computation efficiency, and communication cost. This translation aims to make these ideas accessible to a wider, English-speaking audience.
This project refers to and was inspired by the open-source implementation from IBM:
👉 IBM/adaptive-federated-learning
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