NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Saikumar, Dhananjay, Varghese, Blesson |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Data-Free Pruning of Self-Attention Layers in LLMs
por: Saikumar, Dhananjay, et al.
Publicado: (2025)
por: Saikumar, Dhananjay, et al.
Publicado: (2025)
DRIVE: Dual Gradient-Based Rapid Iterative Pruning
por: Saikumar, Dhananjay, et al.
Publicado: (2024)
por: Saikumar, Dhananjay, et al.
Publicado: (2024)
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations
por: Saikumar, Dhananjay, et al.
Publicado: (2025)
por: Saikumar, Dhananjay, et al.
Publicado: (2025)
Ampere: Communication-Efficient and High-Accuracy Split Federated Learning
por: Zhang, Zihan, et al.
Publicado: (2025)
por: Zhang, Zihan, et al.
Publicado: (2025)
DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
por: Han, Yizhou, et al.
Publicado: (2026)
por: Han, Yizhou, et al.
Publicado: (2026)
FedOptima: Optimizing Resource Utilization in Federated Learning
por: Zhang, Zihan, et al.
Publicado: (2025)
por: Zhang, Zihan, et al.
Publicado: (2025)
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
por: Eccles, Bailey J., et al.
Publicado: (2024)
por: Eccles, Bailey J., et al.
Publicado: (2024)
Mosaic: Composite Projection Pruning for Resource-efficient LLMs
por: Eccles, Bailey J., et al.
Publicado: (2025)
por: Eccles, Bailey J., et al.
Publicado: (2025)
PiPar: Pipeline Parallelism for Collaborative Machine Learning
por: Zhang, Zihan, et al.
Publicado: (2022)
por: Zhang, Zihan, et al.
Publicado: (2022)
Exploring the Frontiers: Challenges and Theories Beyond the Standard Model
por: Saikumar, Dhananjay
Publicado: (2024)
por: Saikumar, Dhananjay
Publicado: (2024)
Quantum Tunneling Insights into the Atomic Landscapes of Graphite, Gold, and Silicon
por: Saikumar, Dhananjay
Publicado: (2024)
por: Saikumar, Dhananjay
Publicado: (2024)
Multi-DNN Inference of Sparse Models on Edge SoCs
por: Luo, Jiawei, et al.
Publicado: (2026)
por: Luo, Jiawei, et al.
Publicado: (2026)
DNNShifter: An Efficient DNN Pruning System for Edge Computing
por: Eccles, Bailey J., et al.
Publicado: (2023)
por: Eccles, Bailey J., et al.
Publicado: (2023)
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
por: Wu, Di, et al.
Publicado: (2025)
por: Wu, Di, et al.
Publicado: (2025)
Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning
por: Waykole, Vedant, et al.
Publicado: (2026)
por: Waykole, Vedant, et al.
Publicado: (2026)
COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs
por: Liu, Liming, et al.
Publicado: (2025)
por: Liu, Liming, et al.
Publicado: (2025)
OASIS: Online Activation Subspace Learning for Memory-Efficient Training
por: Choudhary, Sakshi, et al.
Publicado: (2026)
por: Choudhary, Sakshi, et al.
Publicado: (2026)
AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control
por: Bui, Quang-Hung, et al.
Publicado: (2025)
por: Bui, Quang-Hung, et al.
Publicado: (2025)
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
por: Zhang, Jianqing, et al.
Publicado: (2024)
por: Zhang, Jianqing, et al.
Publicado: (2024)
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
por: Refael, Yehonathan, et al.
Publicado: (2024)
por: Refael, Yehonathan, et al.
Publicado: (2024)
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
por: Yang, Zi, et al.
Publicado: (2024)
por: Yang, Zi, et al.
Publicado: (2024)
Low-rank Momentum Factorization for Memory Efficient Training
por: Mahdavinia, Pouria, et al.
Publicado: (2025)
por: Mahdavinia, Pouria, et al.
Publicado: (2025)
Adaptive Graph Coarsening for Efficient GNN Training
por: Olshevskyi, Rostyslav, et al.
Publicado: (2025)
por: Olshevskyi, Rostyslav, et al.
Publicado: (2025)
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
por: Venkatasubramanian, Shyam, et al.
Publicado: (2024)
por: Venkatasubramanian, Shyam, et al.
Publicado: (2024)
Learning Parametric Nitrogen Fertilizer Response Curves Using Neuro Symbolic Regression
por: Morales, Giorgio, et al.
Publicado: (2026)
por: Morales, Giorgio, et al.
Publicado: (2026)
FlashOptim: Optimizers for Memory-Efficient Training
por: Ortiz, Jose Javier Gonzalez, et al.
Publicado: (2026)
por: Ortiz, Jose Javier Gonzalez, et al.
Publicado: (2026)
ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning
por: Pathak, Tushar Dhananjay
Publicado: (2026)
por: Pathak, Tushar Dhananjay
Publicado: (2026)
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
por: Dhurandhar, Amit, et al.
Publicado: (2024)
por: Dhurandhar, Amit, et al.
Publicado: (2024)
Learning to Focus: Focal Attention for Selective and Scalable Transformers
por: Ram, Dhananjay, et al.
Publicado: (2025)
por: Ram, Dhananjay, et al.
Publicado: (2025)
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
por: Zmushko, Philip, et al.
Publicado: (2024)
por: Zmushko, Philip, et al.
Publicado: (2024)
Efficient support ticket resolution using Knowledge Graphs
por: Varghese, Sherwin, et al.
Publicado: (2024)
por: Varghese, Sherwin, et al.
Publicado: (2024)
4-bit Shampoo for Memory-Efficient Network Training
por: Wang, Sike, et al.
Publicado: (2024)
por: Wang, Sike, et al.
Publicado: (2024)
Experience-Efficient Model-Free Deep Reinforcement Learning Using Pre-Training
por: Yang, Ruoxing
Publicado: (2025)
por: Yang, Ruoxing
Publicado: (2025)
RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNs
por: Song, Zhenao
Publicado: (2025)
por: Song, Zhenao
Publicado: (2025)
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
por: Zhao, Jiawei, et al.
Publicado: (2024)
por: Zhao, Jiawei, et al.
Publicado: (2024)
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
por: Muhamed, Aashiq, et al.
Publicado: (2024)
por: Muhamed, Aashiq, et al.
Publicado: (2024)
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
por: Jo, Dongwon, et al.
Publicado: (2024)
por: Jo, Dongwon, et al.
Publicado: (2024)
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
por: Wang, Yezhen, et al.
Publicado: (2025)
por: Wang, Yezhen, et al.
Publicado: (2025)
NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds
por: Zhao, Boran, et al.
Publicado: (2025)
por: Zhao, Boran, et al.
Publicado: (2025)
PRAC: Principal-Random Subspace for LLM Activation Compression and Memory-Efficient Training
por: Li, Yanyi, et al.
Publicado: (2026)
por: Li, Yanyi, et al.
Publicado: (2026)
Ejemplares similares
-
Data-Free Pruning of Self-Attention Layers in LLMs
por: Saikumar, Dhananjay, et al.
Publicado: (2025) -
DRIVE: Dual Gradient-Based Rapid Iterative Pruning
por: Saikumar, Dhananjay, et al.
Publicado: (2024) -
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations
por: Saikumar, Dhananjay, et al.
Publicado: (2025) -
Ampere: Communication-Efficient and High-Accuracy Split Federated Learning
por: Zhang, Zihan, et al.
Publicado: (2025) -
DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
por: Han, Yizhou, et al.
Publicado: (2026)