From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control
No official code found. Best implementation: czhang024/ParallelControl (15 stars, MIT, last commit 2026-04-26).
No official code found. Best implementation: czhang024/ParallelControl (15 stars, MIT, last commit 2026-04-26).
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
Stay on Topic with Classifier-Free Guidance
Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer
Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment
Repaint123: Fast and High-Quality One Image to 3D Generation with Progressive Controllable Repainting
Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers
@article{zhang2026from,
title = {From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control},
author = {Chi Zhang and Lianhai Ren and Jingpu Cheng and Qianxiao Li},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:32134523c83eab03e639903e3a62e3e974254dd2},
journal = {ICML 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/32134523c83eab03e639903e3a62e3e974254dd2)