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cs.LG2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma, Tang Li, Xi Peng
Federated Learning is widely employed to tackle distributed sensitive data. Existing methods primarily focus on addressing in-federation data heterogeneity. However, we observed th…
cs.LG2024
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen, Fengchun Qiao, Xi Peng
We study the problem of continual test-time adaption where the goal is to adapt a source pre-trained model to a sequence of unlabelled target domains at test time. Existing methods…
cs.LG2023
Topology-aware Robust Optimization for Out-of-distribution Generalization
Fengchun Qiao, Xi Peng
Out-of-distribution (OOD) generalization is a challenging machine learning problem yet highly desirable in many high-stake applications. Existing methods suffer from overly pessimi…