Chen-Yu Ho

11 papers A* 2A 1Misc 1Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Comprehensive Empirical Study of Heterogeneity in Federated Learning.
IEEE Internet Things J.
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
2022 — conf
Empirical analysis of federated learning in heterogeneous environments.
EuroMLSys@EuroSys
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
2022 — conf
Natural Compression for Distributed Deep Learning.
MSML
Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
2021 A* conf
Efficient sparse collective communication and its application to accelerate distributed deep learning.
SIGCOMM
Jiawei Fei, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Amedeo Sapio
2021 A conf
GRACE: A Compressed Communication Framework for Distributed Machine Learning.
ICDCS
Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
2021 J jnl
On the Impact of Device and Behavioral Heterogeneity in Federated Learning.
CoRR
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini
2021 Misc conf
Scaling Distributed Machine Learning with In-Network Aggregation.
NSDI
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
2020 A* conf
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.
AAAI
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2019 J jnl
Natural Compression for Distributed Deep Learning.
CoRR
Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
2019 J jnl
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.
CoRR
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2019 J jnl
Scaling Distributed Machine Learning with In-Network Aggregation.
CoRR
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik