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Shiqiang Wang
Shiqiang Wang
IBM T. J. Watson Research Center
Verified email at us.ibm.com - Homepage
Title
Cited by
Year
FADAS: Towards Federated Adaptive Asynchronous Optimization
Y Wang, S Wang, S Lu, J Chen
International Conference on Machine Learning, 2024
2024
A new theoretical perspective on data heterogeneity in federated optimization
J Wang, S Wang, RR Chen, M Ji
International Conference on Machine Learning, 2024
32024
Feature selection in vertical federated learning
TJ Castiglia, Y Zhou, NB Angel, SR Kadhe, S Wang, SE Patterson
US Patent App. 18/156,064, 2024
2024
Vertical federated learning with compressed embeddings
A Das, TJ Castiglia, SE Patterson, S Wang
US Patent 12,033,074, 2024
12024
Federated fine-tuning of LLMs on the very edge: The good, the bad, the ugly
H Woisetschläger, A Erben, S Wang, R Mayer, HA Jacobsen
Proceedings of the Eighth Workshop on Data Management for End-to-End Machine …, 2024
92024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
S Wang, M Ji
International Conference on Learning Representations (ICLR), 2024
4*2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
D Jhunjhunwala, S Wang, G Joshi
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
2024
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
P Han, S Wang, Y Jiao, J Huang
IEEE International Conference on Computer Communications (INFOCOM), 2024
32024
Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach
E Chen, S Wang, CG Brinton
IEEE International Conference on Computer Communications (INFOCOM), 2024
12024
Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning
C Yu, S Shen, S Wang, K Zhang, H Zhao
IEEE Transactions on Neural Networks and Learning Systems, 2024
2024
Tensor comparison across a distributed machine learning environment
G Kollias, T Salonidis, S Wang
US Patent 11,954,611, 2024
2024
DRONE-ASSISTED COMMUNICATIONS NETWORK
C Liu, W Lee, S Wang, SB Calo, DC Verma
US Patent App. 17/934,612, 2024
2024
SKETCHED AND CLUSTERED FEDERATED LEARNING WITH AUTOMATIC TUNING
A Mukherjee, G Kollias, T Salonidis, S Wang
US Patent App. 18/149,682, 2024
2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
B Luo, W Xiao, S Wang, J Huang, L Tassiulas
IEEE Transactions on Mobile Computing, 2024
2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act
H Woisetschläger, A Erben, B Marino, S Wang, ND Lane, R Mayer, ...
arXiv preprint arXiv:2402.05968, 2024
42024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
G Xiong, G Yan, S Wang, J Li
AAAI Conference on Artificial Intelligence, 2024
12024
A Survey on Efficient Federated Learning Methods for Foundation Model Training
H Woisetschläger, A Isenko, S Wang, R Mayer, HA Jacobsen
arXiv preprint arXiv:2401.04472, 2024
62024
Vertical federated learning with secure aggregation
S Wang, TJ Castiglia, NB Angel, SE Patterson, XU Runhua, Y Zhou
US Patent App. 17/838,445, 2023
2023
Incremental and decentralized model pruning in federated machine learning
WH Lee, C Liu, S Wang, BJ Ko, Y Jiang
US Patent 11,842,260, 2023
2023
Distributed machine learning at edge nodes
S Wang, T Tuor, T Salonidis, C Makaya, BJ Ko
US Patent 11,836,576, 2023
2023
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