Continual Learning Frameworks for Long-Term Knowledge Retention in Evolving Data Streams
A modular continual learning framework that integrates incremental model updates with a memory-based rehearsal mechanism designed to preserve representative samples from previously learned tasks is proposed, suggesting that combining incremental learning with compact rehearsal memory provides a practical solution for b...