In graph machine learning, data collection, sharing, and analysis often
...
In federated learning (FL), multiple clients collaborate to train machin...
Knowledge distillation (KD) requires sufficient data to transfer knowled...
In federated learning, most existing techniques for robust aggregation
a...
We study a pitfall in the typical workflow for differentially private ma...
The perceptual-based grouping process produces a hierarchical and
compos...