| Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey K Pfeiffer, M Rapp, R Khalili, J Henkel ACM Computing Surveys, 2023 | 16 | 2023 |
| DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems M Rapp, R Khalili, K Pfeiffer, J Henkel Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8062-8071, 2022 | 12 | 2022 |
| CoCoFL: Communication-and Computation-Aware Federated Learning via Partial NN Freezing and Quantization K Pfeiffer, M Rapp, R Khalili, J Henkel Transactions on Machine Learning Research (TMLR) 06/2023, 2023 | 8 | 2023 |
| Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices K Pfeiffer, R Khalili, J Henkel Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators K Pfeiffer, K Balaskas, K Siozios, J Henkel arXiv preprint arXiv:2402.18569, 2024 | | 2024 |
Jörg HenkelProfessor of Computer Science, Karlsruhe Institute of Technology在 kit.edu 的电子邮件经过验证
