| Fedml: A research library and benchmark for federated machine learning C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ... arXiv preprint arXiv:2007.13518, 2020 | 375 | 2020 |
| Minimizing thermal variation in heterogeneous HPC systems with FPGA nodes Y Luo, X Wang, S Ogrenci-Memik, G Memik, K Yoshii, P Beckman 2018 IEEE 36th International Conference on Computer Design (ICCD), 537-544, 2018 | 6 | 2018 |
| Hard real-time scheduling for parallel run-time systems P Dinda, X Wang, J Wang, C Beauchene, C Hetland Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 6 | 2018 |
| BoFL: bayesian optimized local training pace control for energy efficient federated learning H Guo, H Gu, Z Yang, X Wang, EK Lee, N Chandramoorthy, T Eilam, ... Proceedings of the 23rd ACM/IFIP International Middleware Conference, 188-201, 2022 | 3 | 2022 |
| FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs S Han, B Buyukates, Z Hu, H Jin, W Jin, L Sun, X Wang, W Wu, C Xie, ... | 2 | 2023 |
| Robusta: Robust AutoML for Feature Selection via Reinforcement Learning X Wang, B Li, Y Zhang, B Kailkhura, K Nahrstedt arXiv preprint arXiv:2101.05950, 2021 | 2 | 2021 |
| Invariant Aggregator for Defending against Federated Backdoor Attacks X Wang, D Dimitriadis, S Koyejo, S Tople International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 | 1 | 2024 |
| FedCore: Straggler-Free Federated Learning with Distributed Coresets H Guo, H Gu, X Wang, B Chen, EK Lee, T Eilam, D Chen, K Nahrstedt arXiv preprint arXiv:2402.00219, 2024 | | 2024 |
| Adversarial robustness in federated learning C Xie, X Wang Federated Learning, 91-104, 2024 | | 2024 |
| Personalized Federated Learning with Spurious Features: An Adversarial Approach X Wang, H Zhao, K Nahrstedt, S Koyejo Transactions on Machine Learning Research (TMLR), 2024 | | 2024 |
| Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision X Wang, K Nahrstedt, OO Koyejo Conference on Causal Learning and Reasoning, 877-903, 2022 | | 2022 |
Klara NahrstedtComputer Science, University of Illinois, Urbana-ChampaignVerified email at illinois.edu
