D-FROST: Decentralized Federated pRompt-tuning via Optimal tranSporT for Non-IID and Imbalanced Data

arXiv:2609.01802 · cs.LG · Submitted 2026-09-01 · Read on arXiv

cs.LG

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Accuracy — 21× in this paper · explained in 1 episode
• Optimal Transport — 13× in this paper · explained in 5 episodes
• Federated Learning — 12× in this paper · explained in 15 episodes
• Aggregation — 10× in this paper · explained in 1 episode
• Wasserstein Distance — 10× in this paper · explained in 4 episodes
• Regularization — 8× in this paper · explained in 3 episodes
• Decentralized Federated Learning — 7× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• 2-Wasserstein Distance — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Spectral Gap — 4× in this paper · explained in 5 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Decentralized Learning — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation Studies — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Data Heterogeneity — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Foundation Models (FMs) — 2× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Non-IID Data — 1× in this paper · explained in 2 episodes
• Optimal Transport (OT) — 1× in this paper · explained in 4 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• CINIC-10 is not ImageNet or CIFAR-10
• Sharpness-Aware Minimization for Efficiently Improving Generalization

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