The Composition Gap in Dataset Distillation

arXiv:2609.34343 · cs.LG · Submitted 2026-09-28 · Read on arXiv

cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/Guang000/Awesome-Dataset-Distillation

Terminology

• Distillation — 1× in this paper · explained in 2 episodes

Sources

• Federated Learning via Synthetic Data
• Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
• FedSynth: Gradient Compression via Synthetic Data in Federated Learning
• DD-Ranking: Rethinking the Evaluation of Dataset Distillation
• FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
• Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
• Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
• Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
• DistDD: Distributed Data Distillation Aggregation through Gradient Matching
• Dataset Distillation
• Distilled One-Shot Federated Learning

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