Saved in:
| Main Authors: | He, Xiaoyu, Cai, Yu, Jia, Jin, Huang, Canxi, Chen, Wenqing, Zheng, Zibin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.13034 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
by: Song, Jingze, et al.
Published: (2026)
by: Song, Jingze, et al.
Published: (2026)
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
by: Wu, Chenlin, et al.
Published: (2024)
by: Wu, Chenlin, et al.
Published: (2024)
Projection-Free Evolution Strategies for Continuous Prompt Search
by: Cai, Yu, et al.
Published: (2026)
by: Cai, Yu, et al.
Published: (2026)
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
by: Deng, Shenyang, et al.
Published: (2026)
by: Deng, Shenyang, et al.
Published: (2026)
MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation
by: Shen, Wei, et al.
Published: (2025)
by: Shen, Wei, et al.
Published: (2025)
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization
by: Park, Kwangryeol, et al.
Published: (2024)
by: Park, Kwangryeol, et al.
Published: (2024)
Optimizing the Adversarial Perturbation with a Momentum-based Adaptive Matrix
by: Tao, Wei, et al.
Published: (2025)
by: Tao, Wei, et al.
Published: (2025)
Contrastive Deep Nonnegative Matrix Factorization for Community Detection
by: Li, Yuecheng, et al.
Published: (2023)
by: Li, Yuecheng, et al.
Published: (2023)
Low-rank Momentum Factorization for Memory Efficient Training
by: Mahdavinia, Pouria, et al.
Published: (2025)
by: Mahdavinia, Pouria, et al.
Published: (2025)
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
by: Zhang, Yihua, et al.
Published: (2024)
by: Zhang, Yihua, et al.
Published: (2024)
Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
by: Lyu, Bochen, et al.
Published: (2025)
by: Lyu, Bochen, et al.
Published: (2025)
DP-Muon: Differentially Private Optimization via Matrix-Orthogonalized Momentum
by: Kim, Jihwan, et al.
Published: (2026)
by: Kim, Jihwan, et al.
Published: (2026)
DyMoE: Dynamic Expert Orchestration with Mixed-Precision Quantization for Efficient MoE Inference on Edge
by: Huang, Yuegui, et al.
Published: (2026)
by: Huang, Yuegui, et al.
Published: (2026)
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
by: Islamov, Rustem, et al.
Published: (2025)
by: Islamov, Rustem, et al.
Published: (2025)
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
by: Tu, Gang, et al.
Published: (2024)
by: Tu, Gang, et al.
Published: (2024)
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
by: Luo, Qijun, et al.
Published: (2024)
by: Luo, Qijun, et al.
Published: (2024)
Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline
by: Fang, Zhiyuan, et al.
Published: (2025)
by: Fang, Zhiyuan, et al.
Published: (2025)
Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation
by: Zhang, Yunbei, et al.
Published: (2026)
by: Zhang, Yunbei, et al.
Published: (2026)
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
by: Awari, Atharva, et al.
Published: (2025)
by: Awari, Atharva, et al.
Published: (2025)
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
by: Ramesh, Amrutha Varshini, et al.
Published: (2024)
by: Ramesh, Amrutha Varshini, et al.
Published: (2024)
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems
by: Hytla, Patrick, et al.
Published: (2025)
by: Hytla, Patrick, et al.
Published: (2025)
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
by: Cai, Zeju, et al.
Published: (2024)
by: Cai, Zeju, et al.
Published: (2024)
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
by: Huang, Zibin, et al.
Published: (2024)
by: Huang, Zibin, et al.
Published: (2024)
AuON: A Linear-time Alternative to Orthogonal Momentum Updates
by: Maity, Dipan
Published: (2025)
by: Maity, Dipan
Published: (2025)
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
by: Chen, Yiming, et al.
Published: (2025)
by: Chen, Yiming, et al.
Published: (2025)
Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization
by: Topollai, Kristi, et al.
Published: (2025)
by: Topollai, Kristi, et al.
Published: (2025)
DemoTuner: Automatic Performance Tuning for Database Management Systems Based on Demonstration Reinforcement Learning
by: Dou, Hui, et al.
Published: (2025)
by: Dou, Hui, et al.
Published: (2025)
Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers
by: Ranganath, Aditya
Published: (2026)
by: Ranganath, Aditya
Published: (2026)
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training
by: Cheng, Jiezhu, et al.
Published: (2023)
by: Cheng, Jiezhu, et al.
Published: (2023)
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
by: Chen, Xingyu, et al.
Published: (2025)
by: Chen, Xingyu, et al.
Published: (2025)
A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning Training
by: Yan, Chengcheng, et al.
Published: (2025)
by: Yan, Chengcheng, et al.
Published: (2025)
Leveraging Coordinate Momentum in SignSGD and Muon: Memory-Optimized Zero-Order
by: Petrov, Egor, et al.
Published: (2025)
by: Petrov, Egor, et al.
Published: (2025)
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
by: Li, Yongle, et al.
Published: (2025)
by: Li, Yongle, et al.
Published: (2025)
An Efficient Alternating Algorithm for ReLU-based Symmetric Matrix Decomposition
by: Wang, Qingsong
Published: (2025)
by: Wang, Qingsong
Published: (2025)
Memory-Efficient Optimization with Factorized Hamiltonian Descent
by: Nguyen, Son, et al.
Published: (2024)
by: Nguyen, Son, et al.
Published: (2024)
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
by: Ngo, Lam, et al.
Published: (2024)
by: Ngo, Lam, et al.
Published: (2024)
Momentum LMS Theory beyond Stationarity: Stability, Tracking, and Regret
by: Jin, Yifei, et al.
Published: (2026)
by: Jin, Yifei, et al.
Published: (2026)
Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
by: Liao, Xiaoxuan, et al.
Published: (2025)
by: Liao, Xiaoxuan, et al.
Published: (2025)
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
by: Li, Xianliang, et al.
Published: (2024)
by: Li, Xianliang, et al.
Published: (2024)
Similar Items
-
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
by: Song, Jingze, et al.
Published: (2026) -
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
by: Wu, Chenlin, et al.
Published: (2024) -
Projection-Free Evolution Strategies for Continuous Prompt Search
by: Cai, Yu, et al.
Published: (2026) -
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
by: Deng, Shenyang, et al.
Published: (2026) -
MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation
by: Shen, Wei, et al.
Published: (2025)