| Throughput-optimal topology design for cross-silo federated learning O Marfoq, C Xu, G Neglia, R Vidal Advances in Neural Information Processing Systems 33, 19478-19487, 2020 | 74 | 2020 |
| Prediction of maximum fatigue indicator parameters for duplex Ti–6Al–4V using extreme value theory T Gu, KS Stopka, C Xu, DL McDowell Acta Materialia 188, 504-516, 2020 | 47 | 2020 |
| Decentralized gradient methods: does topology matter? G Neglia, C Xu, D Towsley, G Calbi International Conference on Artificial Intelligence and Statistics, 2348-2358, 2020 | 42 | 2020 |
| Efficient passive membership inference attack in federated learning O Zari, C Xu, G Neglia arXiv preprint arXiv:2111.00430, 2021 | 21 | 2021 |
| Time-optimal self-stabilizing leader election in population protocols J Burman, HL Chen, HP Chen, D Doty, T Nowak, E Severson, C Xu Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing …, 2021 | 17 | 2021 |
| Efficient self-stabilizing leader election in population protocols J Burman, D Doty, T Nowak, EE Severson, C Xu arXiv preprint arXiv:1907.06068, 2019 | 11 | 2019 |
| Dynamic backup workers for parallel machine learning C Xu, G Neglia, N Sebastianelli Computer Networks 188, 107846, 2021 | 10 | 2021 |
| Bandwidth minimization problem C Wang, C Xu, A Lisser MOSIM 2014, 10ème Conférence Francophone de Modélisation, Optimisation et …, 2014 | 9 | 2014 |
| Modeling the statistical distribution of fatigue crack formation lifetime in large volumes of polycrystalline microstructures T Gu, KS Stopka, C Xu, DL McDowell Acta Materialia 247, 118715, 2023 | 8 | 2023 |
| What else is leaked when eavesdropping Federated Learning? C Xu, G Neglia CCS workshop Privacy Preserving Machine Learning (PPML), 2021 | 5 | 2021 |
| The fluctuation of warm paleoclimatic controls on lacustrine carbonate deposition in the Late Cretaceous (late Santonian), Southern Songliao Basin, Northeast China C Xu, X Shan, W He International Journal of Earth Sciences, 1-18, 2021 | 4 | 2021 |
| Data collection in population protocols with non-uniformly random scheduler J Beauquier, J Burman, S Kutten, T Nowak, C Xu International Symposium on Algorithms and Experiments for Sensor Systems …, 2017 | 3 | 2017 |
| Local Model Reconstruction Attacks in Federated Learning and their Uses I Driouich, C Xu, G Neglia, F Giroire, E Thomas arXiv preprint arXiv:2210.16205, 2022 | 2 | 2022 |
| Data collection in population protocols with non-uniformly random scheduler C Xu, J Beauquier, J Burman, S Kutten, T Nowak Theoretical Computer Science 806, 516-530, 2020 | 2 | 2020 |
| Power-Aware Population Protocols C Xu, J Burman, J Beauquier ICDCS 2017, 37th IEEE International Conference on Distributed Computing …, 2017 | 2 | 2017 |
| A Multicommodity Formulation for Routing in Healthcare Wireless Body Area Networks P Adasme, A Lisser, C Xu International Conference on Operations Research and Enterprise Systems 2 …, 2014 | 2 | 2014 |
| A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses CG Kaplan, C Xu, O Marfoq, G Neglia, AS de Oliveira arXiv preprint arXiv:2310.12112, 2023 | 1 | 2023 |
| A Novel Model-Based Attribute Inference Attack in Federated Learning I Driouich, C Xu, G Neglia, F Giroire, E Thomas FL-NeurIPS'22-Federated Learning: Recent Advances and New Challenges …, 2022 | | 2022 |
| Local Model Privacy-Preserving Study for Federated Learning K Pan, D He, C Xu Security and Privacy in Communication Networks: 17th EAI International …, 2021 | | 2021 |
| Ordering Protein Contact Matrices C Xu, G Bouvier, B Bardiaux, M Nilges, T Malliavin, A Lisser Computational and Structural Biotechnology Journal 16, 140-156, 2018 | | 2018 |
Shay KuttenProfessor, Technion在 technion.ac.il 的电子邮件经过验证
