# Align Before Aggregation: Basis-Consistent Federated LoRA under Heterogeneous Ranks

**Published:** November 6, 2026
**Author:** Pengpeng Qiao, Yang Cao, Lingling Zhang, Guo Cheng, Junwei Chen, Manjiang Yu, Wei Yang Bryan Lim, Masatoshi Yoshikawa
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/align-before-aggregation-basis-consistent-federated-lora-under-heterogen

arXiv:2611.07598v1 Announce Type: new Abstract: Federated fine-tuning of large language models (LLMs) under heterogeneous client capacities is increasingly important, and low-rank adaptation (LoRA) with heterogeneous ranks makes it practical. Existing server-side aggregators…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2611.07598)

**Tags:** #arXiv

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