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Ting He

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Energy-efficient Decentralized Learning via Graph Sparsification

Jan 05, 2024
Xusheng Zhang, Cho-Chun Chiu, Ting He

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Joint Coreset Construction and Quantization for Distributed Machine Learning

Apr 13, 2022
Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris

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Communication-efficient k-Means for Edge-based Machine Learning

Feb 08, 2021
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

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Sharing Models or Coresets: A Study based on Membership Inference Attack

Jul 06, 2020
Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan

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Online Learning of Facility Locations

Jul 06, 2020
Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster

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Robust Coreset Construction for Distributed Machine Learning

Apr 11, 2019
Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S Chan

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Adaptive Federated Learning in Resource Constrained Edge Computing Systems

Aug 02, 2018
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan

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