January 01, 2026 conference-paper A Robust Federated Learning Approach for Noisy Labels Based on Sharpening and Self-distillation Smart innovation, systems and technologies DOI: 10.1007/978-3-032-22592-4_40 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning 2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Privacy-Preserving Technologies in Data Open access 31 citations 1 result