Flora: Low-Rank Adapters Are Secretly Gradient Compressors

5 February 2024

Papers citing "Flora: Low-Rank Adapters Are Secretly Gradient Compressors"

33 / 33 papers shown

Title
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients Yezhen Wang Zhouhao Yang Brian K Chen Fanyi Pu Bo-wen Li Tianyu Gao Kenji Kawaguchi 41 0 0 03 May 2025
CONGRAD:Conflicting Gradient Filtering for Multilingual Preference Alignment Jiangnan Li Thuy-Trang Vu Christian Herold Amirhossein Tebbifakhr Shahram Khadivi Gholamreza Haffari 33 0 0 31 Mar 2025
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models Suhas G Hegde S. K Aruna Tiwari 56 0 0 25 Mar 2025
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model Wenke Huang Jian Liang Xianda Guo Yiyang Fang Guancheng Wan ... Bin Yang He Li Jiawei Shao Mang Ye Bo Du OffRL LRM MLLM KELM VLM 65 1 0 06 Mar 2025
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation Z. Liu Ruijie Zhang Z. Wang Zi Yang Paul Hovland Bogdan Nicolae Franck Cappello Z. Zhang 44 0 0 16 Feb 2025
GoRA: Gradient-driven Adaptive Low Rank Adaptation Haonan He Peng Ye Yuchen Ren Yuan Yuan Lei Chen AI4TS AI4CE 172 0 0 13 Feb 2025
Gradient Multi-Normalization for Stateless and Scalable LLM Training M. Scetbon Chao Ma Wenbo Gong Edward Meeds 99 1 0 10 Feb 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning Zhekai Du Yinjie Min Jingjing Li Ke Lu Changliang Zou Liuhua Peng Tingjin Chu M. Gong 162 1 0 05 Feb 2025
SubTrack your Grad: Gradient Subspace Tracking for Memory and Time Efficient Full-Parameter LLM Training Sahar Rajabi Nayeema Nonta Sirisha Rambhatla 90 0 0 03 Feb 2025
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models Guanduo Chen Yutong He Yipeng Hu Kun Yuan Binhang Yuan 51 0 0 03 Feb 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA Shuangyi Chen Yuanxin Guo Yue Ju Harik Dalal Ashish Khisti 48 1 0 03 Feb 2025
Aggregating Low Rank Adapters in Federated Fine-tuning Evelyn Trautmann Ian Hales Martin F. Volk AI4CE FedML 39 0 0 10 Jan 2025
GaLore $+$ : Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Xutao Liao Shaohui Li Yuhui Xu Zhi Li Y. Liu You He VLM 59 2 0 31 Dec 2024
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection Jinqi Xiao S. Sang Tiancheng Zhi Jing Liu Qing Yan Linjie Luo Bo Yuan Bo Yuan VLM 86 1 0 26 Nov 2024
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training Philip Zmushko Aleksandr Beznosikov Martin Takáč Samuel Horváth 39 0 0 12 Nov 2024
Efficient Adaptive Optimization via Subset-Norm and Subspace-Momentum: Fast, Memory-Reduced Training with Convergence Guarantees T. Nguyen Huy Le Nguyen ODL 33 0 0 11 Nov 2024
LoRA vs Full Fine-tuning: An Illusion of Equivalence Reece Shuttleworth Jacob Andreas Antonio Torralba Pratyusha Sharma 35 9 0 28 Oct 2024
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks Yongchang Hao Yanshuai Cao Lili Mou MQ 33 2 0 28 Oct 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning Aleksandra I. Nowak Otniel-Bogdan Mercea Anurag Arnab Jonas Pfeiffer Yann N. Dauphin Utku Evci 25 0 0 21 Oct 2024
CompAct: Compressed Activations for Memory-Efficient LLM Training Yara Shamshoum Nitzan Hodos Yuval Sieradzki Assaf Schuster MQ VLM 44 0 0 20 Oct 2024
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models Artur Kasymov Marcin Sendera Michał Stypułkowski Maciej Ziȩba P. Spurek 33 1 0 04 Oct 2024
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy Saber Malekmohammadi G. Farnadi 24 2 0 26 Sep 2024
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models Cheng Lin Lujun Li Dezhi Li Jie Zou Wei Xue Yike Guo AI4TS 40 4 0 18 Aug 2024
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients Ajay Jaiswal Lu Yin Zhenyu (Allen) Zhang Shiwei Liu Jiawei Zhao Yuandong Tian Zhangyang Wang 33 14 0 15 Jul 2024
Low-Rank Interconnected Adaptation Across Layers Yibo Zhong Yao Zhou OffRL MoE 48 1 0 13 Jul 2024
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients Zhenyu (Allen) Zhang Ajay Jaiswal L. Yin Shiwei Liu Jiawei Zhao Yuandong Tian Zhangyang Wang VLM 31 16 0 11 Jul 2024
A Survey on LoRA of Large Language Models Yuren Mao Yuhang Ge Yijiang Fan Wenyi Xu Yu Mi Zhonghao Hu Yunjun Gao ALM 54 24 0 08 Jul 2024
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients Aashiq Muhamed Oscar Li David Woodruff Mona Diab Virginia Smith 53 7 0 25 Jun 2024
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models Jing Liu Ruihao Gong Mingyang Zhang Yefei He Jianfei Cai Bohan Zhuang MoE 37 0 0 13 Jun 2024
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining Andi Han Jiaxiang Li Wei Huang Mingyi Hong Akiko Takeda Pratik Jawanpuria Bamdev Mishra 36 9 0 04 Jun 2024
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections Roy Miles Pradyumna Reddy Ismail Elezi Jiankang Deng VLM 35 3 0 28 May 2024
Improving LoRA in Privacy-preserving Federated Learning Youbang Sun Zitao Li Yaliang Li Bolin Ding 27 56 0 18 Mar 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao Zhenyu (Allen) Zhang Beidi Chen Zhangyang Wang A. Anandkumar Yuandong Tian 43 173 0 06 Mar 2024