Su Wang

According to our database, Su Wang authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation.

Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton

IEEE Trans. Cogn. Commun. Netw., June, 2024

Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks.

Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang

IEEE/ACM Trans. Netw., February, 2024

Coded Caching With Heterogeneous User Profiles.

Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato

IEEE Trans. Inf. Theory, 2024

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection.

Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton

CoRR, 2024

2023

Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks.

Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang

IEEE Commun. Mag., December, 2023

UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach.

Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang

IEEE Trans. Netw. Serv. Manag., June, 2023

Hubzero: Community Growth for Four Science Gateways Supporting Open Science.

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

Comput. Sci. Eng., 2023

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks.

Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton

CoRR, 2023

Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks.

Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang

CoRR, 2023

How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?

Su Wang, Rajeev Sahay, Christopher G. Brinton

Proceedings of the IEEE International Conference on Communications, 2023

2022

Open Science via HUBzero: Exploring Five Science Gateways Supporting and Growing their Open Science Communities.

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

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Network-Aware Optimization of Distributed Learning for Fog Computing.

Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong

IEEE/ACM Trans. Netw., 2021

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.

Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton

Proceedings of the 40th IEEE Conference on Computer Communications, 2021