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05/26/2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
This paper studies a new task of federated learning (FL) for semantic pa...
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04/13/2022
Joint Coreset Construction and Quantization for Distributed Machine Learning
Coresets are small, weighted summaries of larger datasets, aiming at pro...
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10/14/2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
For protecting users' private data, local differential privacy (LDP) has...
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02/08/2021
Communication-efficient k-Means for Edge-based Machine Learning
We consider the problem of computing the k-means centers for a large hig...
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07/06/2020
Sharing Models or Coresets: A Study based on Membership Inference Attack
Distributed machine learning generally aims at training a global model b...
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01/22/2020
