| Masa: Responsive multi-dnn inference on the edge B Cox, J Galjaard, A Ghiassi, R Birke, LY Chen 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 35 | 2021 |
| Aergia: leveraging heterogeneity in federated learning systems B Cox, LY Chen, J Decouchant Proceedings of the 23rd ACM/IFIP International Middleware Conference, 107-120, 2022 | 19 | 2022 |
| Memory-aware and context-aware multi-DNN inference on the edge B Cox, R Birke, LY Chen Pervasive and Mobile Computing 83, 101594, 2022 | 9 | 2022 |
| Training Diffusion Models with Federated Learning M de Goede, B Cox, J Decouchant arXiv preprint arXiv:2406.12575, 2024 | 8* | 2024 |
| Mema: Fast inference of multiple deep models J Galjaard, B Cox, A Ghiassi, LY Chen, R Birke 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 8 | 2021 |
| Asynchronous byzantine federated learning B Cox, A Mălan, LY Chen, J Decouchant arXiv preprint arXiv:2406.01438, 2024 | 5 | 2024 |
| Asynchronous multi-server federated learning for geo-distributed clients Y Zuo, B Cox, LY Chen, J Decouchant arXiv preprint arXiv:2406.01439, 2024 | 2 | 2024 |
| Multi-model inference on the edge: Scheduling for multi-model execution on resource constrained devices B Cox | 1 | 2020 |
| Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients Y Zuo, B Cox, LY Chen, J Decouchant Proceedings of the 25th International Middleware Conference, 367-378, 2024 | | 2024 |
| Reliable Communication in Hybrid Authentication and Trust Models R Chotkan, B Cox, V Rahli, J Decouchant arXiv preprint arXiv:2408.08060, 2024 | | 2024 |
| Parameterizing Federated Continual Learning for Reproducible Research B Cox, J Galjaard, A Shankar, J Decouchant, LY Chen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Artifact: Masa: Responsive Multi-DNN Inference on the Edge B Cox, J Galjaard, A Ghiassi, R Birke, LY Chen 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | | 2021 |
| Analysis of Loading Policies for Multi-model Inference on the Edge Y Runhaar, B Cox, A Ghiassi | | 2020 |
| Offline Compression of Convolutional Neural Networks on Edge Devices S Tulling, L Chen, M Ghiassi, B Cox | | 2020 |
| Analysis of the effect of caching convolutional network layers on resource constraint devices W van Lil, L Chen, B Cox, M Ghiassi | | 2020 |
| Multi-model inference on the edge BA Cox | | |
| Natural Language Processing and Tabular Data sets in Federated Continual Learning J Dechouchant, B Cox | | |
| Conference Opening Session 1-Pervasive computing at the edge B Cox, JM Galjaard, A Ghiassi, R Birke, H Oikawa, M Kondo | | |
Lydia Y. ChenUniversity of Neuchatel/ TU Delft確認したメール アドレス: ieee.org
