p18 / Conference
Bridging the Gap: Challenges and Limitations of Federated Learning in Real-World Applications
2025 10th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1-6 · 2025
In plain language
This paper examines the practical obstacles between federated learning research and deployed applications.
Research context
It encourages evaluating whether an FL solution can be operated reliably, alongside its predictive performance.
Approach
It discusses statistical heterogeneity, privacy, personalization, and communication efficiency, including the feasibility of tuning aggregation hyperparameters in production.
Findings
The available description identifies deployability and operational tuning as unresolved concerns despite extensive algorithmic research.
Summary based on record. Summary uses the available author-profile description. The publisher full abstract was not accessible, so no empirical result or numerical claim is asserted.