SVHN

Dataset Card for Street View House Numbers Dataset Summary SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting. It can be seen as similar in flavor to MNIST (e.g., the images are of small cropped digits), but

Papers using SVHN (23)

Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning2026Repurposing Backdoors for Good: Ephemeral Intrinsic Proofs for Verifiable Aggregation in Cross-silo Federated Learning2026An Adaptive Differentially Private Federated Learning Framework with Bi-level Optimization2026DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning2026FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning2025AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing2025Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection2025PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework2025Differentially Private Federated Learning with Laplacian Smoothing2020 · 9 citesFederated Semi-Supervised Learning with Prototypical Networks2022 · 5 citesMeta Federated Learning2021 · 4 citesFLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution2022 · 4 citesFederated Learning with Instance-Dependent Noisy Label2023 · 2 citesFedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients2024 · 2 citesSecuring Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework2024 · 2 citesFabricated Flips: Poisoning Federated Learning without Data2022 · 1 citesHercules: Boosting the Performance of Privacy-preserving Federated Learning2022 · 1 citesPrivacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness2024 · 1 citesLeveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks2024 · 1 citesPrivacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning2024Blockchain-aided wireless federated learning: Resource allocation and client scheduling2024A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder2024A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT2024