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Data Poisoning Attacks on Federated Machine Learning., , , , и . CoRR, (2020)What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation., , , , и . CVPR, стр. 4022-4031. Computer Vision Foundation / IEEE, (2020)Confident Anchor-Induced Multi-Source Free Domain Adaptation., , , , и . NeurIPS, стр. 2848-2860. (2021)CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation., , , , и . ECCV (8), том 12353 из Lecture Notes in Computer Science, стр. 745-762. Springer, (2020)Gradient-Semantic Compensation for Incremental Semantic Segmentation., , , , и . IEEE Trans. Multim., (2024)Rehearsal-free Federated Domain-incremental Learning., , , , , и . CoRR, (2024)Continual Named Entity Recognition without Catastrophic Forgetting., , , , , , и . CoRR, (2023)No One Left Behind: Real-World Federated Class-Incremental Learning., , , , , и . CoRR, (2023)I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting., , , , и . CoRR, (2020)Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence., , и . ICCV, стр. 8341-8350. IEEE, (2021)