2025
Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
ICLR 2025poster
Model merging has emerged as a crucial technique in Deep Learning, enabling the integration of multiple models into a unified system while preserving performance and scalability. In this respect, the compositional properties of low-rank adaptation techniques (e.g., LoRA) have proven beneficial, as s…