| Device sampling for heterogeneous federated learning: Theory, algorithms, and implementation S Wang, M Lee, S Hosseinalipour, R Morabito, M Chiang, CG Brinton IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 127 | 2021 |
| Network-aware optimization of distributed learning for fog computing S Wang, Y Ruan, Y Tu, S Wagle, CG Brinton, C Joe-Wong IEEE/ACM Transactions on Networking 29 (5), 2019-2032, 2021 | 123* | 2021 |
| UAV-assisted online machine learning over multi-tiered networks: A hierarchical nested personalized federated learning approach S Wang, S Hosseinalipour, M Gorlatova, CG Brinton, M Chiang IEEE Transactions on Network and Service Management, 2022 | 49 | 2022 |
| Coded caching with heterogeneous user profiles S Wang, B Peleato IEEE International Symposium on Information Theory (ISIT), 2019 | 30 | 2019 |
| Parallel successive learning for dynamic distributed model training over heterogeneous wireless networks S Hosseinalipour, S Wang, N Michelusi, V Aggarwal, CG Brinton, DJ Love, ... IEEE/ACM Transactions on Networking, 2022 | 28 | 2022 |
| Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks S Wang, S Hosseinalipour, V Aggarwal, CG Brinton, DJ Love, W Su, ... IEEE Communications Magazine, 2023 | 22 | 2023 |
| How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? S Wang, R Sahay, CG Brinton International Conference on Communications (ICC), 2023 | 12 | 2023 |
| Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection L Yuan, DJ Han, S Wang, D Upadhyay, CG Brinton arXiv preprint arXiv:2401.16685, 2024 | 11 | 2024 |
| Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks S Wang, R Morabito, S Hosseinalipour, M Chiang, CG Brinton IEEE/ACM Transactions on Networking, 2024 | 8 | 2024 |
| Instructor outcomes of teaching a STEM MOOC M Zelinski, NM Hicks, S Wang, KA Douglas, P Bermel, HA Diefes-Dux, ... 2017 IEEE Frontiers in Education Conference (FIE), 1-7, 2017 | 7 | 2017 |
| Open Science via HUBzero: Exploring Five Science Gateways Supporting and Growing their Open Science Communities S Gesing, C Stirm, G Klimeck, LK Zentner, S Wang, BM Villegas-Martínez, ... HICSS 2022: Hawaii International Conference on System Sciences, 2022 | 4 | 2022 |
| Multi-source to multi-target decentralized federated domain adaptation S Wang, S Hosseinalipour, CG Brinton IEEE Transactions on Cognitive Communications and Networking, 2024 | 3 | 2024 |
| Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks DTA Nguyen, S Wang, DT Nguyen, A Nedich, HV Poor arXiv preprint arXiv:2409.17189, 2024 | 1 | 2024 |
| Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers S Wang, R Sahay, A Piaseczny, CG Brinton arXiv preprint arXiv:2306.04872, 2023 | 1 | 2023 |
| NETWORK-AWARE FEDERATED LEARNING ACROSS HIGHLY HETEROGENEOUS EDGE/FOG NETWORKS S Wang Purdue University Graduate School, 2023 | | 2023 |
| Hubzero: Community Growth for Four Science Gateways Supporting Open Science S Gesing, C Stirm, G Klimeck, L Zentner, S Wang, BM Villegas-Martinez, ... Computing in Science & Engineering, 2023 | | 2023 |
| Coded caching with heterogeneous user profiles C Zhang, S Wang, V Aggarwal, B Peleato IEEE Transactions on Information Theory, 2022 | | 2022 |
Christopher G. BrintonElmore Associate Professor of ECE, Purdue UniversityVerified email at purdue.edu
