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

arXiv:2602.13486 · cs.LG, cs.AI, cs.DC · Submitted 2026-02-13 · Read on arXiv

cs.LG, cs.AI, cs.DC

Submitted: 2026-02-13

Updated: 2026-09-26

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Aggregation — 60× in this paper · explained in 1 episode
• Accuracy — 21× in this paper · explained in 1 episode
• Adaptation — 21× in this paper · explained in 1 episode
• Fine-Tuning — 17× in this paper · explained in 5 episodes
• Robustness — 12× in this paper · explained in 5 episodes
• Data Heterogeneity — 8× in this paper · explained in 3 episodes
• Federated Learning — 7× in this paper · explained in 14 episodes
• Foundation Model — 7× in this paper · explained in 3 episodes
• Foundation Models — 6× in this paper · explained in 7 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Non-IID Data — 5× in this paper · explained in 2 episodes
• Communication Overhead — 4× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Downstream Tasks — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 2× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Foundation Models (FMs) — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Mean-Field Dynamics — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• The Llama 3 Herd of Models
• Training Verifiers to Solve Math Word Problems
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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