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Chen-Yu Ho 0001
Person information
- affiliation: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Other persons with the same name
- Chen-Yu Ho — disambiguation page
- Chen-Yu Ho 0002 — National Taipei University of Technology, Taiwan
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Journal Articles
- 2023
- [j1]Ahmed M. Abdelmoniem
, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet Things J. 10(16): 14071-14083 (2023)
Conference and Workshop Papers
- 2022
- [c6]Ahmed M. Abdelmoniem
Empirical analysis of federated learning in heterogeneous environments. EuroMLSys@EuroSys 2022: 1-9 - [c5]Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik:
Natural Compression for Distributed Deep Learning. MSML 2022: 129-141 - 2021
- [c4]Hang Xu, Chen-Yu Ho
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS 2021: 561-572 - [c3]Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy
Scaling Distributed Machine Learning with In-Network Aggregation. NSDI 2021: 785-808 - [c2]Jiawei Fei, Chen-Yu Ho
Efficient sparse collective communication and its application to accelerate distributed deep learning. SIGCOMM 2021: 676-691 - 2020
- [c1]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI 2020: 3817-3824
Informal and Other Publications
- 2021
- [i4]Ahmed M. Abdelmoniem, Chen-Yu Ho
On the Impact of Device and Behavioral Heterogeneity in Federated Learning. CoRR abs/2102.07500 (2021) - 2019
- [i3]Amedeo Sapio
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR abs/1903.06701 (2019) - [i2]Samuel Horváth
Natural Compression for Distributed Deep Learning. CoRR abs/1905.10988 (2019) - [i1]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR abs/1911.08250 (2019)
Coauthor Index
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