How Edge of Stability Hinders SCAFFOLD in Federated Optimization

arXiv:2608.25873 · cs.LG · Submitted 2026-08-26 · Read on arXiv

cs.LG

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• Federated Learning — 17× in this paper · explained in 14 episodes
• Data Heterogeneity — 12× in this paper · explained in 3 episodes
• Edge of Stability — 12× in this paper
• Gradient Descent — 7× in this paper
• Theoretical Guarantees — 5× in this paper · explained in 2 episodes
• Adaptive Gradient Methods — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
• On the Convergence of Local Descent Methods in Federated Learning
• A Field Guide to Federated Optimization
• Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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