Pilora: Prototype guided incremental lora for federated class-incremental learning

H Guo, F Zhu, W Liu, XY Zhang, CL Liu - European Conference on …, 2024 - Springer
Existing federated learning methods have effectively dealt with decentralized learning in
scenarios involving data privacy and non-IID data. However, in real-world situations, each …

Pass++: A dual bias reduction framework for non-exemplar class-incremental learning

F Zhu, XY Zhang, Z Cheng, CL Liu - arXiv preprint arXiv:2407.14029, 2024 - arxiv.org
Class-incremental learning (CIL) aims to recognize new classes incrementally while
maintaining the discriminability of old classes. Most existing CIL methods are exemplar …

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues

Y Lin, Y Ma, R Cao, B Li, F Huang, X Gu… - arXiv preprint arXiv …, 2024 - arxiv.org
Reproducing buggy code is the first and crucially important step in issue resolving, as it aids
in identifying the underlying problems and validating that generated patches resolve the …