Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL
Fuente:
arXiv
Saved in:
| Main Authors: | Miahi, Erfan, Belilovsky, Eugene |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
by: Lidin, Joel, et al.
Published: (2026)
by: Lidin, Joel, et al.
Published: (2026)
Communication Efficient LLM Pre-training with SparseLoCo
by: Sarfi, Amir, et al.
Published: (2025)
by: Sarfi, Amir, et al.
Published: (2025)
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
by: Fournier, Louis, et al.
Published: (2024)
by: Fournier, Louis, et al.
Published: (2024)
Meta-learning Optimizers for Communication-Efficient Learning
by: Joseph, Charles-Étienne, et al.
Published: (2023)
by: Joseph, Charles-Étienne, et al.
Published: (2023)
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups
by: Nanfack, Geraldin, et al.
Published: (2025)
by: Nanfack, Geraldin, et al.
Published: (2025)
Efficient Refusal Ablation in LLM through Optimal Transport
by: Nanfack, Geraldin, et al.
Published: (2026)
by: Nanfack, Geraldin, et al.
Published: (2026)
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
by: Davari, MohammadReza, et al.
Published: (2023)
by: Davari, MohammadReza, et al.
Published: (2023)
Stabilizing Native Low-Rank LLM Pretraining
by: Janson, Paul, et al.
Published: (2026)
by: Janson, Paul, et al.
Published: (2026)
When Data Falls Short: Grokking Below the Critical Threshold
by: Singh, Vaibhav, et al.
Published: (2025)
by: Singh, Vaibhav, et al.
Published: (2025)
Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention
by: Singh, Vaibhav, et al.
Published: (2024)
by: Singh, Vaibhav, et al.
Published: (2024)
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference
by: Mukherji, Rishav, et al.
Published: (2023)
by: Mukherji, Rishav, et al.
Published: (2023)
Celo2: Towards Learned Optimization Free Lunch
by: Moudgil, Abhinav, et al.
Published: (2026)
by: Moudgil, Abhinav, et al.
Published: (2026)
Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients
by: Legate, Gwen, et al.
Published: (2025)
by: Legate, Gwen, et al.
Published: (2025)
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
by: Nabli, Adel, et al.
Published: (2024)
by: Nabli, Adel, et al.
Published: (2024)
Celo: Training Versatile Learned Optimizers on a Compute Diet
by: Moudgil, Abhinav, et al.
Published: (2025)
by: Moudgil, Abhinav, et al.
Published: (2025)
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
by: Hameed, Humza Wajid, et al.
Published: (2024)
by: Hameed, Humza Wajid, et al.
Published: (2024)
DragD3D: Realistic Mesh Editing with Rigidity Control Driven by 2D Diffusion Priors
by: Xie, Tianhao, et al.
Published: (2023)
by: Xie, Tianhao, et al.
Published: (2023)
$μ$LO: Compute-Efficient Meta-Generalization of Learned Optimizers
by: Thérien, Benjamin, et al.
Published: (2024)
by: Thérien, Benjamin, et al.
Published: (2024)
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation
by: Nanfack, Geraldin, et al.
Published: (2024)
by: Nanfack, Geraldin, et al.
Published: (2024)
Rethinking Prompt Optimization: Reinforcement, Diversification, and Migration in Blackbox LLMs
by: Davari, MohammadReza, et al.
Published: (2025)
by: Davari, MohammadReza, et al.
Published: (2025)
Exploiting Subgradient Sparsity in Max-Plus Neural Networks
by: Enaieh, Ikhlas, et al.
Published: (2026)
by: Enaieh, Ikhlas, et al.
Published: (2026)
Incentivizing Permissionless Distributed Learning of LLMs
by: Lidin, Joel, et al.
Published: (2025)
by: Lidin, Joel, et al.
Published: (2025)
Heterogeneous Low-Bandwidth Pre-Training of LLMs
by: Obeidi, Yazan, et al.
Published: (2026)
by: Obeidi, Yazan, et al.
Published: (2026)
MuLoCo: Muon is a practical inner optimizer for DiLoCo
by: Thérien, Benjamin, et al.
Published: (2025)
by: Thérien, Benjamin, et al.
Published: (2025)
Bridging State and History Representations: Understanding Self-Predictive RL
by: Ni, Tianwei, et al.
Published: (2024)
by: Ni, Tianwei, et al.
Published: (2024)
Sparsity-Aware Communication for Distributed Graph Neural Network Training
by: Mukhodopadhyay, Ujjaini, et al.
Published: (2025)
by: Mukhodopadhyay, Ujjaini, et al.
Published: (2025)
Less is More: Undertraining Experts Improves Model Upcycling
by: Horoi, Stefan, et al.
Published: (2025)
by: Horoi, Stefan, et al.
Published: (2025)
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
by: Szatkowski, Filip, et al.
Published: (2023)
by: Szatkowski, Filip, et al.
Published: (2023)
Reward Distance Comparisons Under Transition Sparsity
by: Nyanhongo, Clement, et al.
Published: (2025)
by: Nyanhongo, Clement, et al.
Published: (2025)
Empowering Distributed Training with Sparsity-driven Data Synchronization
by: Wang, Zhuang, et al.
Published: (2023)
by: Wang, Zhuang, et al.
Published: (2023)
Non-Uniform Parameter-Wise Model Merging
by: Camacho, Albert Manuel Orozco, et al.
Published: (2024)
by: Camacho, Albert Manuel Orozco, et al.
Published: (2024)
Model Parallelism With Subnetwork Data Parallelism
by: Singh, Vaibhav, et al.
Published: (2025)
by: Singh, Vaibhav, et al.
Published: (2025)
Efficient Incremental Belief Updates Using Weighted Virtual Observations
by: Tolpin, David
Published: (2024)
by: Tolpin, David
Published: (2024)
PyLO: Towards Accessible Learned Optimizers in PyTorch
by: Janson, Paul, et al.
Published: (2025)
by: Janson, Paul, et al.
Published: (2025)
PETRA: Parallel End-to-end Training with Reversible Architectures
by: Rivaud, Stéphane, et al.
Published: (2024)
by: Rivaud, Stéphane, et al.
Published: (2024)
DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone
by: Singh, Vaibhav, et al.
Published: (2025)
by: Singh, Vaibhav, et al.
Published: (2025)
AdaFisher: Adaptive Second Order Optimization via Fisher Information
by: Gomes, Damien Martins, et al.
Published: (2024)
by: Gomes, Damien Martins, et al.
Published: (2024)
Accelerating Training with Neuron Interaction and Nowcasting Networks
by: Knyazev, Boris, et al.
Published: (2024)
by: Knyazev, Boris, et al.
Published: (2024)
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models
by: Mukherji, Rishav, et al.
Published: (2024)
by: Mukherji, Rishav, et al.
Published: (2024)
Test Time Adaptation Using Adaptive Quantile Recalibration
by: Mehrbod, Paria, et al.
Published: (2025)
by: Mehrbod, Paria, et al.
Published: (2025)
Similar Items
-
Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
by: Lidin, Joel, et al.
Published: (2026) -
Communication Efficient LLM Pre-training with SparseLoCo
by: Sarfi, Amir, et al.
Published: (2025) -
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
by: Fournier, Louis, et al.
Published: (2024) -
Meta-learning Optimizers for Communication-Efficient Learning
by: Joseph, Charles-Étienne, et al.
Published: (2023) -
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups
by: Nanfack, Geraldin, et al.
Published: (2025)