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cs.LG2025
Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
Jianyu Wang, Jacob Nean-Hua Sheikh, Cat P. Le +1
Lifelong deep learning (LDL) trains neural networks to learn sequentially across tasks while preserving prior knowledge. We propose Task-Aware Multi-Expert (TAME), a continual lear…
cs.LG2025
FedGTEA: Federated Class-Incremental Learning with Gaussian Task Embedding and Alignment
Haolin Li, Hoda Bidkhori
We introduce a novel framework for Federated Class Incremental Learning, called Federated Gaussian Task Embedding and Alignment (FedGTEA). FedGTEA is designed to capture task-speci…