Biased Local SGD for Efficient Deep Learning on Heterogeneous Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Lim, Jihyun, Jo, Junhyuk, Ko, Chanhyeok, Go, Young Min, Hwa, Jimin, Lee, Sunwoo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning
by: Jo, Junhyuk, et al.
Published: (2025)
by: Jo, Junhyuk, et al.
Published: (2025)
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogeneous Federated Learning
by: Lim, Jihyun, et al.
Published: (2025)
by: Lim, Jihyun, et al.
Published: (2025)
Weight Concentration Regularization for Improving Pruning Robustness Under High Sparsity
by: Yun, Vincent-Daniel, et al.
Published: (2025)
by: Yun, Vincent-Daniel, et al.
Published: (2025)
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
by: Lee, Sunwoo
Published: (2025)
by: Lee, Sunwoo
Published: (2025)
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
by: Yun, Vincent-Daniel, et al.
Published: (2026)
by: Yun, Vincent-Daniel, et al.
Published: (2026)
Deep Learning and Matrix Completion-aided IoT Network Localization in the Outlier Scenarios
by: Kim, Sunwoo
Published: (2025)
by: Kim, Sunwoo
Published: (2025)
An Adversarial Learning Approach to Irregular Time-Series Forecasting
by: Nam, Heejeong, et al.
Published: (2024)
by: Nam, Heejeong, et al.
Published: (2024)
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
by: Kim, Jisoo, et al.
Published: (2025)
by: Kim, Jisoo, et al.
Published: (2025)
Locality-Aware Redundancy Pruning for LLM Depth Compression
by: Yun, Vincent-Daniel, et al.
Published: (2026)
by: Yun, Vincent-Daniel, et al.
Published: (2026)
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
by: Naganuma, Hiroki, et al.
Published: (2025)
by: Naganuma, Hiroki, et al.
Published: (2025)
UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)
by: Lee, Sunwoo, et al.
Published: (2026)
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
by: Patel, Kumar Kshitij, et al.
Published: (2024)
by: Patel, Kumar Kshitij, et al.
Published: (2024)
FoX: Formation-aware exploration in multi-agent reinforcement learning
by: Jo, Yonghyeon, et al.
Published: (2023)
by: Jo, Yonghyeon, et al.
Published: (2023)
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases
by: Romero, David W.
Published: (2024)
by: Romero, David W.
Published: (2024)
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2025)
by: Lee, Sunwoo, et al.
Published: (2025)
MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times
by: Maranjyan, Artavazd, et al.
Published: (2024)
by: Maranjyan, Artavazd, et al.
Published: (2024)
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
by: Kalavasis, Alkis, et al.
Published: (2025)
by: Kalavasis, Alkis, et al.
Published: (2025)
Demystifying SGD with Doubly Stochastic Gradients
by: Kim, Kyurae, et al.
Published: (2024)
by: Kim, Kyurae, et al.
Published: (2024)
Non-Asymptotic Analysis of Online Local Private Learning with SGD
by: Shi, Enze, et al.
Published: (2025)
by: Shi, Enze, et al.
Published: (2025)
Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training
by: Shin, Hyuntak, et al.
Published: (2025)
by: Shin, Hyuntak, et al.
Published: (2025)
Shaping Zero-Shot Coordination via State Blocking
by: Kang, Mingu, et al.
Published: (2026)
by: Kang, Mingu, et al.
Published: (2026)
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
by: Tyurin, Alexander, et al.
Published: (2024)
by: Tyurin, Alexander, et al.
Published: (2024)
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data
by: Wang, Xiaolu, et al.
Published: (2024)
by: Wang, Xiaolu, et al.
Published: (2024)
Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm
by: Li, Hongyang, et al.
Published: (2025)
by: Li, Hongyang, et al.
Published: (2025)
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
by: Dahan, Tehila, et al.
Published: (2023)
by: Dahan, Tehila, et al.
Published: (2023)
Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)
by: Park, Yisak, et al.
Published: (2025)
RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning
by: Lee, Cheol-Hui, et al.
Published: (2026)
by: Lee, Cheol-Hui, et al.
Published: (2026)
Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration
by: Khaled, Ahmed, et al.
Published: (2025)
by: Khaled, Ahmed, et al.
Published: (2025)
On The Hidden Biases of Flow Matching Samplers
by: Lim, Soon Hoe
Published: (2025)
by: Lim, Soon Hoe
Published: (2025)
Handling Device Heterogeneity for Deep Learning-based Localization
by: Shokry, Ahmed, et al.
Published: (2024)
by: Shokry, Ahmed, et al.
Published: (2024)
Biased Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)
Asynchronous Local-SGD Training for Language Modeling
by: Liu, Bo, et al.
Published: (2024)
by: Liu, Bo, et al.
Published: (2024)
Predicting Social Media Engagement from Emotional and Temporal Features
by: Kim, Yunwoo, et al.
Published: (2025)
by: Kim, Yunwoo, et al.
Published: (2025)
AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs
by: Zeng, Zihao, et al.
Published: (2025)
by: Zeng, Zihao, et al.
Published: (2025)
NeuralBeta: Estimating Beta Using Deep Learning
by: Liu, Yuxin, et al.
Published: (2024)
by: Liu, Yuxin, et al.
Published: (2024)
Biased Over-the-Air Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)
The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently
by: Cornacchia, Elisabetta, et al.
Published: (2026)
by: Cornacchia, Elisabetta, et al.
Published: (2026)
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
by: Lee, Jongha, et al.
Published: (2024)
by: Lee, Jongha, et al.
Published: (2024)
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs
by: Miao, Hao, et al.
Published: (2024)
by: Miao, Hao, et al.
Published: (2024)
Similar Items
-
Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning
by: Jo, Junhyuk, et al.
Published: (2025) -
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogeneous Federated Learning
by: Lim, Jihyun, et al.
Published: (2025) -
Weight Concentration Regularization for Improving Pruning Robustness Under High Sparsity
by: Yun, Vincent-Daniel, et al.
Published: (2025) -
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
by: Lee, Sunwoo
Published: (2025) -
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
by: Yun, Vincent-Daniel, et al.
Published: (2026)