Gillian Dobbie

Source Inference Attacks in Federated Learning

2021 · arXiv (Cornell University)

Federated learning (FL) has emerged as a promising privacy-aware paradigm that allows multiple clients to jointly train a model without sharing their private data. Recently, many studies have shown that FL is vulnerable to membership …

Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation

2025

Recent research has demonstrated the effectiveness of knowledge distillation in Domain Generalization. However, existing approaches often overlook domain-specific knowledge and rely on an offline distillation strategy, limiting the effectiveness of knowledge transfer. To address these …