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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

* The current version includes a new convergence bound that is more general than the bound in the previous version. The control algorithm and experimentation results in the current version are new. The new control algorithm can guarantee convergence to zero optimality gap as the resource budget goes to infinity. The experiments are conducted on larger datasets and more results are included 

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