Su Wang

21 papers A* 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Mitigating Evasion Attacks in Federated Learning Based Signal Classifiers.
IEEE Trans. Netw. Sci. Eng.
Su Wang, Rajeev Sahay, Adam Piaseczny, Christopher G. Brinton
2024 J jnl
Coded Caching With Heterogeneous User Profiles.
IEEE Trans. Inf. Theory
Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato
2024 J jnl
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection.
CoRR
Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
2024 J jnl
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks.
IEEE/ACM Trans. Netw.
Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2024 J jnl
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation.
IEEE Trans. Cogn. Commun. Netw.
Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
2024 J jnl
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks.
IEEE/ACM Trans. Netw.
Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
2023 J jnl
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks.
CoRR
Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2023 — conf
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?
ICC
Su Wang, Rajeev Sahay, Christopher G. Brinton
2023 J jnl
Hubzero: Community Growth for Four Science Gateways Supporting Open Science.
Comput. Sci. Eng.
Sandra Gesing, Claire Stirm, Gerhard Klimeck, Lynn K. Zentner, Su Wang, Braulio Misael Villegas-Martínez, Hector M. Moya-Cessa, Carrie Diaz Eaton, Samuel S. Donovan, Carol X. Song, Lan Zhao, I Luk Kim, Alejandro Strachan, Michael G. Zentner, Rajesh Kalyanam
2023 J jnl
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation.
CoRR
Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
2023 J jnl
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks.
IEEE Commun. Mag.
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
2023 J jnl
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks.
CoRR
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
2023 J jnl
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach.
IEEE Trans. Netw. Serv. Manag.
Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
2022 J jnl
Coded Caching with Heterogeneous User Profiles.
CoRR
Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato
2022 — conf
Open Science via HUBzero: Exploring Five Science Gateways Supporting and Growing their Open Science Communities.
HICSS
Sandra Gesing, Claire Stirm, Gerhard Klimeck, Lynn K. Zentner, Su Wang, Braulio Misael Villegas-Martínez, Carrie Diaz Eaton, Samuel S. Donovan, Lan Zhao, Carol X. Song, I Luk Kim, Alejandro Strachan, Michael G. Zentner, Rajesh Kalyanam
2022 J jnl
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks.
CoRR
Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
2021 A* conf
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.
INFOCOM
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
2021 J jnl
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.
CoRR
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
2021 J jnl
Network-Aware Optimization of Distributed Learning for Fog Computing.
IEEE/ACM Trans. Netw.
Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2021 J jnl
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach.
CoRR
Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
2020 J jnl
Network-Aware Optimization of Distributed Learning for Fog Computing.
CoRR
Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong