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07/10/2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
In graph machine learning, data collection, sharing, and analysis often ...
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06/10/2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
In federated learning (FL), multiple clients collaborate to train machin...
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05/21/2023
Understanding the Effect of Data Augmentation on Knowledge Distillation
Knowledge distillation (KD) requires sufficient data to transfer knowled...
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08/27/2022
BOBA: Byzantine-Robust Federated Learning with Label Skewness
In federated learning, most existing techniques for robust aggregation a...
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05/13/2022
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
We study a pitfall in the typical workflow for differentially private ma...
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03/25/2020
