SparseLoCo combines error feedback with Top-k sparsification and 2-bit quantization to send 1-3% of the pseudo-gradient during LLM pre-training while matching or beating DiLoCo's dense updates.
Shigang Li and Torsten Hoefler
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Overcoming the Communication-Performance Tradeoff in LLM Pretraining
SparseLoCo combines error feedback with Top-k sparsification and 2-bit quantization to send 1-3% of the pseudo-gradient during LLM pre-training while matching or beating DiLoCo's dense updates.