Tiny-ImageNet

'Tiny-ImageNet' is a dataset that contains 200 classes of images, each with 500 training images, used to evaluate the performance of machine learning models in image classification tasks.

Papers using Tiny-ImageNet (22)

Separate Aggregation of Split Network for Personalized Federated Learning2026Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization2026Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity2026Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models2026DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models2026Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers2025DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints2025On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach2025Decoupled Contrastive Learning for Federated Learning2025pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork2025FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging2025Orthogonal Soft Pruning for Efficient Class Unlearning2025SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning2024Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data2021 · 36 citesNo Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier2023 · 3 citesUnlocking the Potential of Federated Learning for Deeper Models2023 · 2 citesTowards Instance-adaptive Inference for Federated Learning2023 · 2 citesOvercoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator2024 · 1 citesDivide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems2023Text-Enhanced Data-free Approach for Federated Class-Incremental Learning2024Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory2024PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning2024