Segueix
(Henry) Su Wang
(Henry) Su Wang
Postdoc at Princeton University
Correu electrònic verificat a princeton.edu - Pàgina d'inici
Títol
Citada per
Citada per
Any
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
1272021
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
492022
Coded caching with heterogeneous user profiles
S Wang, B Peleato
IEEE International Symposium on Information Theory (ISIT), 2019
302019
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
282022
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
222023
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?
S Wang, R Sahay, CG Brinton
International Conference on Communications (ICC), 2023
122023
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
112024
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
82024
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
72017
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
42022
Multi-source to multi-target decentralized federated domain adaptation
S Wang, S Hosseinalipour, CG Brinton
IEEE Transactions on Cognitive Communications and Networking, 2024
32024
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
12024
Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers
S Wang, R Sahay, A Piaseczny, CG Brinton
arXiv preprint arXiv:2306.04872, 2023
12023
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
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
Articles 1–17