Su Wang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Learning Theories

Bregman Divergences

Top Venues

IEEE/ACM Trans. Netw.

IEEE Trans. Inf. Theory

IEEE Trans. Netw. Serv. Manag.

Publications

Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. IEEE Trans. Cogn. Commun. Netw. 10 (3) (2024)
Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR (2024)
Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato
Coded Caching With Heterogeneous User Profiles. IEEE Trans. Inf. Theory 70 (3) (2024)
Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. IEEE/ACM Trans. Netw. 32 (1) (2024)
Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. CoRR (2023)
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
Hubzero: Community Growth for Four Science Gateways Supporting Open Science. Comput. Sci. Eng. 25 (1) (2023)
Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
Su Wang, Rajeev Sahay, Christopher G. Brinton
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? ICC (2023)
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR (2023)
Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. CoRR (2023)
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. 61 (12) (2023)
Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR (2022)
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR (2021)
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. INFOCOM (2021)
Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. 29 (5) (2021)
Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. CoRR (2021)
Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR (2020)