EDGC: Entropy-driven Dynamic Gradient Compression for Efficient LLM Training

arXiv:2511.10333 · cs.LG, cs.AI, cs.PF · Submitted 2025-11-13 · Read on arXiv

cs.LG, cs.AI, cs.PF

Submitted: 2025-11-13

Updated: 2026-09-30

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes

Sources

• 8-Bit Approximations for Parallelism in Deep Learning
• The Pile: An 800GB Dataset of Diverse Text for Language Modeling
• DeepSeek-V3 Technical Report
• GPT-4 Technical Report
• Carbon Emissions and Large Neural Network Training
• Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
• Communication-Efficient Distributed Deep Learning: A Comprehensive Survey

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