ZO-COSMO: Index-Free One-Hop Mixing for Decentralized Zeroth-Order Optimization

arXiv:2609.27199 · cs.LG, cs.SY, eess.SY, math.OC · Submitted 2026-09-23 · Read on arXiv

cs.LG, cs.SY, eess.SY, math.OC

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Accuracy — 44× in this paper · explained in 1 episode
• Core — 13× in this paper · explained in 2 episodes
• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Quantization — 7× in this paper · explained in 12 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Sparsity — 5× in this paper · explained in 4 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Alternation — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptive Sampling — 1× in this paper · explained in 1 episode
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• American Control Conference — 1× in this paper
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Decentralized Learning — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 16 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Spectral Gap — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
• Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
• Gradientless Descent: High-Dimensional Zeroth-Order Optimization
• SeedFlood: A Step Toward Scalable Decentralized Training of LLMs
• A stochastic subspace approach to gradient-free optimization in high dimensions
• Stochastic Zeroth-order Optimization via Variance Reduction method
• Qwen2 Technical Report

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