Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity.

arXiv:2602.13486v3 Announce Type: replace-cross Abstract: Federated low-rank adaptation (FedLoRA) has facilitated communication-efficient and privacy-preserving fine-tuning of foundation models for downstream tasks. In practical federated learning scenarios, c