| A framework for edge intelligent smart distribution grids via federated learning N Hudson, MJ Hossain, M Hosseinzadeh, H Khamfroush, ... 2021 International Conference on Computer Communications and Networks (ICCCN …, 2021 | 27 | 2021 |
| QoS-aware placement of deep learning services on the edge with multiple service implementations N Hudson, H Khamfroush, DE Lucani 2021 international conference on computer communications and networks (ICCCN …, 2021 | 27 | 2021 |
| Behavioral information diffusion for opinion maximization in online social networks N Hudson, H Khamfroush IEEE Transactions on Network Science and Engineering 8 (2), 1259-1268, 2020 | 20 | 2020 |
| FLoX: Federated learning with FaaS at the edge N Kotsehub, M Baughman, R Chard, N Hudson, P Patros, O Rana, ... 2022 IEEE 18th International Conference on e-Science (e-Science), 11-20, 2022 | 14 | 2022 |
| Improving the accuracy-latency trade-off of edge-cloud computation offloading for deep learning services X Zhao, M Hosseinzadeh, N Hudson, H Khamfroush, DE Lucani 2020 IEEE Globecom Workshops (GC Wkshps, 1-6, 2020 | 14 | 2020 |
| Memory injections: Correcting multi-hop reasoning failures during inference in transformer-based language models M Sakarvadia, A Ajith, A Khan, D Grzenda, N Hudson, A Bauer, K Chard, ... arXiv preprint arXiv:2309.05605, 2023 | 10 | 2023 |
| Smart edge-enabled traffic light control: Improving reward-communication trade-offs with federated reinforcement learning N Hudson, P Oza, H Khamfroush, T Chantem 2022 IEEE International Conference on Smart Computing (SMARTCOMP), 40-47, 2022 | 10 | 2022 |
| Accelerating Communications in Federated Applications with Transparent Object Proxies JG Pauloski, V Hayot-Sasson, L Ward, N Hudson, C Sabino, ... Proceedings of the International Conference for High Performance Computing …, 2023 | 5 | 2023 |
| Communication-loss trade-off in federated learning: A distributed client selection algorithm M Hosseinzadeh, N Hudson, S Heshmati, H Khamfroush 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022 | 5 | 2022 |
| Joint compression and offloading decisions for deep learning services in 3-tier edge systems M Hosseinzadeh, N Hudson, X Zhao, H Khamfroush, DE Lucani 2021 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2021 | 4 | 2021 |
| Attention lens: A tool for mechanistically interpreting the attention head information retrieval mechanism M Sakarvadia, A Khan, A Ajith, D Grzenda, N Hudson, A Bauer, K Chard, ... arXiv preprint arXiv:2310.16270, 2023 | 3 | 2023 |
| Hierarchical and decentralised federated learning O Rana, T Spyridopoulos, N Hudson, M Baughman, K Chard, I Foster, ... 2022 Cloud Continuum, 1-9, 2022 | 3 | 2022 |
| A Proximity-Based Generative Model for Online Social Network Topologies E Hufbauer, N Hudson, H Khamfroush 2020 International Conference on Computing, Networking and Communications …, 2020 | 3 | 2020 |
| Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data N Hudson, H Khamfroush, B Harrison, A Craig 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 172-179, 2020 | 2 | 2020 |
| Influence spread in two-layer interdependent networks: designed single-layer or random two-layer initial spreaders? H Khamfroush, N Hudson, S Iloo, MR Naeini Applied Network Science 4, 1-21, 2019 | 2 | 2019 |
| Deadline-Aware Task Offloading for Vehicular Edge Computing Networks Using Traffic Light Data P Oza, N Hudson, T Chantem, H Khamfroush ACM Transactions on Embedded Computing Systems 23 (1), 1-25, 2024 | 1 | 2024 |
| Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision NC Hudson, JG Pauloski, M Baughman, A Kamatar, M Sakarvadia, ... Proceedings of the IEEE/ACM 10th International Conference on Big Data …, 2023 | 1 | 2023 |
| Measurement and applications: Exploring the challenges and opportunities of hierarchical federated learning in sensor applications MPL Ooi, S Sohail, VG Huang, N Hudson, M Baughman, O Rana, A Hinze, ... IEEE Instrumentation & Measurement Magazine 26 (9), 21-31, 2023 | 1 | 2023 |
| Tournament-Based Pretraining to Accelerate Federated Learning M Baughman, N Hudson, R Chard, A Bauer, I Foster, K Chard Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 1 | 2023 |
| Balancing Federated Learning Trade-Offs for Heterogeneous Environments M Baughman, N Hudson, I Foster, K Chard 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | 1 | 2023 |
Hana KhamfroushAssociate Professor, University of KentuckyVerified email at cs.uky.edu
