Federated learning (FL) has emerged as a promising approach for training machine learning models across distributed data sources while preserving data privacy….
Federated learning (FL) has emerged as a promising approach for training machine learning models across distributed data sources while preserving data privacy. However, FL faces significant challenges related to communication overhead and local resource constraints when balancing model requirements and communication capabilities. Particularly in the current era of large language models…
