עקוב אחר
Shiqiang Wang
Shiqiang Wang
IBM T. J. Watson Research Center
כתובת אימייל מאומתת בדומיין us.ibm.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Adaptive federated learning in resource constrained edge computing systems‏
S Wang, T Tuor, T Salonidis, KK Leung, C Makaya, T He, K Chan‏
IEEE Journal on Selected Areas in Communications 37 (6), 1205-1221, 2019‏
21452019
A survey on federated learning for resource-constrained IoT devices‏
A Imteaj, U Thakker, S Wang, J Li, MH Amini‏
IEEE Internet of Things Journal 9 (1), 1-24, 2021‏
6182021
When edge meets learning: Adaptive control for resource-constrained distributed machine learning‏
S Wang, T Tuor, T Salonidis, KK Leung, C Makaya, T He, K Chan‏
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 63-71, 2018‏
5902018
Model pruning enables efficient federated learning on edge devices‏
Y Jiang, S Wang, V Valls, BJ Ko, WH Lee, KK Leung, L Tassiulas‏
IEEE Transactions on Neural Networks and Learning Systems, 2023‏
5582023
Dynamic service migration in mobile edge-clouds‏
S Wang, R Urgaonkar, M Zafer, T He, K Chan, KK Leung‏
2015 IFIP Networking Conference (IFIP Networking), 1-9, 2015‏
3532015
Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds‏
V Farhadi, F Mehmeti, T He, TF La Porta, H Khamfroush, S Wang, ...‏
IEEE/ACM Transactions on Networking, 2021‏
3302021
Live service migration in mobile edge clouds‏
A Machen, S Wang, KK Leung, BJ Ko, T Salonidis‏
IEEE Wireless Communications 25 (1), 140-147, 2017‏
3302017
Dynamic service placement for mobile micro-clouds with predicted future costs‏
S Wang, R Urgaonkar, K Chan, T He, M Zafer, KK Leung‏
IEEE Transactions on Parallel and Distributed Systems 28 (4), 1002-1016, 2017‏
3302017
Dynamic service migration and workload scheduling in edge-clouds‏
R Urgaonkar, S Wang, T He, M Zafer, K Chan, KK Leung‏
Performance Evaluation 91, 205-228, 2015‏
3042015
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process‏
S Wang, R Urgaonkar, M Zafer, T He, K Chan, KK Leung‏
IEEE/ACM Transactions on Networking, 2019‏
2572019
It’s Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-sharable Resources‏
T He, H Khamfroush, S Wang, TL Porta, S Stein‏
IEEE ICDCS 2018, 2018‏
2382018
Online Placement of Multi-Component Applications in Edge Computing Environments‏
S Wang, M Zafer, KK Leung‏
IEEE Access, 2017‏
2312017
Cost-effective federated learning design‏
B Luo, X Li, S Wang, J Huang, L Tassiulas‏
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021‏
2262021
Adaptive gradient sparsification for efficient federated learning: An online learning approach‏
P Han, S Wang, KK Leung‏
2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020‏
2152020
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling‏
B Luo, W Xiao, S Wang, J Huang, L Tassiulas‏
IEEE International Conference on Computer Communications (INFOCOM), 2022‏
2062022
Service placement with provable guarantees in heterogeneous edge computing systems‏
S Pasteris, S Wang, M Herbster, T He‏
IEEE INFOCOM 2019, 2019‏
1742019
Overcoming Noisy and Irrelevant Data in Federated Learning‏
T Tuor, S Wang, BJ Ko, C Liu, KK Leung‏
International Conference on Pattern Recognition (ICPR), 2020‏
172*2020
Mobility-induced service migration in mobile micro-clouds‏
S Wang, R Urgaonkar, T He, M Zafer, K Chan, KK Leung‏
2014 IEEE Military Communications Conference, 835-840, 2014‏
1582014
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD‏
J Wang, S Wang, RR Chen, M Ji‏
AAAI Conference on Artificial Intelligence, 2022‏
117*2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels‏
A Feng, C You, S Wang, L Tassiulas‏
AAAI Conference on Artificial Intelligence, 2022‏
922022
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מאמרים 1–20