January 01, 2020 conference-paper Deep Leakage from Gradients Lecture notes in computer science DOI: 10.1007/978-3-030-63076-8_2 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 1,531 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 Secure distributed machine learning for edge computing 2025 Elsevier eBooks book-chapter Computer Science Privacy-Preserving Technologies in Data 0 citations Improved Gradient Inversion Attacks and Defenses in Federated Learning 2023 IEEE Transactions on Big Data article Computer Science Privacy-Preserving Technologies in Data 51 citations The More, the Better 2021 conference-paper Computer Science Spam and Phishing Detection Open access 9 citations Towards General Deep Leakage in Federated Learning 2021 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access 23 citations 4 results References 0