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ORCIDLigang He
Publications
- 2025
[i14]Wentai Wu, Ligang He, Saiqin Long, Ahmed M. Abdelmoniem, Yingliang Wu, Rui Mao:
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data. CoRR abs/2503.03140 (2025)- 2022
- [j68]Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao:
vChecker: an application-level demand-based co-scheduler for improving the performance of parallel jobs in Xen. Wirel. Networks 28(3): 1313-1319 (2022) - 2021
- [j65]Wentai Wu
, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen A. Jarvis:
SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead. IEEE Trans. Computers 70(5): 655-668 (2021) - [j62]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao:
Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems. IEEE Trans. Parallel Distributed Syst. 32(7): 1539-1551 (2021) - [i10]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song:
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. CoRR abs/2102.01733 (2021) - 2020
- [j54]Huanzhou Zhu, Ligang He, Matthew Leeke, Rui Mao:
WolfGraph: The edge-centric graph processing on GPU. Future Gener. Comput. Syst. 111: 552-569 (2020) - [c61]Junyu Li, Ligang He, Shenyuan Ren, Rui Mao:
Developing a Loss Prediction-based Asynchronous Stochastic Gradient Descent Algorithm for Distributed Training of Deep Neural Networks. ICPP 2020: 47:1-47:10 - [i7]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao:
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. CoRR abs/2007.14374 (2020) - 2019
- [i3]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis:
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. CoRR abs/1910.01355 (2019) - 2018
- [c57]Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao:
vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen. ICA3PP (1) 2018: 19-33 - [c55]Junyu Li, Ligang He, Shenyuan Ren, Rui Mao:
Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training. NPC 2018: 114-125
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last updated on 2025-08-21 01:47 CEST by the dblp team
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