Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning
cs.LG
Submitted: 2026-05-31
Updated: 2026-09-30
Code: https://github.com/dahan198/local-mixvr
Terminology
Sources
- Momentum Benefits Non-IID Federated Learning Simply and Provably
- DiLoCo: Distributed Low-Communication Training of Language Models
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- INTELLECT-1 Technical Report
- Scaling Laws for Neural Language Models
- Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
- Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration
- Don't Use Large Mini-Batches, Use Local SGD
- Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
- Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
- A Survey of Large Language Models
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