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Changxin Liu

Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering

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Sep 13, 2024
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A survey on secure decentralized optimization and learning

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Aug 16, 2024
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Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy

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Aug 08, 2024
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Enhancing Privacy in Federated Learning through Local Training

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Mar 26, 2024
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Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers

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Dec 20, 2023
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Asynchronous Distributed Optimization with Delay-free Parameters

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Dec 11, 2023
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Achieving Model Fairness in Vertical Federated Learning

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Sep 25, 2021
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Improving Fairness for Data Valuation in Federated Learning

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Sep 19, 2021
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