CINIC-10

CINIC-10 is a dataset that contains images for evaluating machine learning models, specifically designed to benchmark performance in image classification tasks.

Papers using CINIC-10 (10)

EvoCSFL: Surrogate-Assisted Evolutionary Client Selection for Efficient and Robust Federated Learning2026Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing2025Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation2025FedRef: Bayesian Fine-Tuning using a Reference Model to Mitigate Catastrophic Forgetting for Heterogeneous Federated Learning2025Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge2020 · 191 citesNo Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data2021 · 39 citesPersonalized Federated Learning with Gaussian Processes2021 · 11 citesVFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification2024 · 6 citesSparse Personalized Federated Learning2021 · 1 citesCombating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators2023