Federated Learning using Digital Image Correlation

1. Introduction

Growing environmental and regulatory demands have made the management of federated learning a central concern for 5G base stations. The model parameters were estimated from historical records associated with 5G base stations. Accuracy improved by 13%, with the largest gains observed under high-load conditions. Policymakers can draw on these outcomes to prioritize investment where it delivers the greatest benefit.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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