CIFAR

CIFAR is a benchmark dataset that contains a collection of images used to evaluate the performance of machine learning models, particularly in the context of image classification tasks.

Papers using CIFAR (6)

Pre-Deployment Complexity Estimation for Federated Perception Systems2026Decoding Federated Learning: The FedNAM+ Conformal Revolution2025Federated Learning with Personalization Layers2019 · 522 citesLOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation2023 · 4 citesLeveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks2024 · 1 citesComprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning2018