2 papers
cs.CV2026
One Pool Is Not Enough: Multi-Cluster Memory for Practical Test-Time Adaptation
Yu-Wen Tseng, Xingyi Zheng, Ya-Chen Wu +4
Test-time adaptation (TTA) adapts pre-trained models to distribution shifts at inference using only unlabeled test data. Under the Practical TTA (PTTA) setting, where test streams…
cs.LG2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou, Xiangmou Qu, Chenlong You +5
Prototype-based federated learning has emerged as a promising approach that shares lightweight prototypes to transfer knowledge among clients with data heterogeneity in a model-agn…