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Unbounded Barrier-Synchronized Concurrent ASMs for Effective MapReduce Processing on Streams., , , , and . ABZ, volume 12709 of Lecture Notes in Computer Science, page 3-16. Springer, (2021)ActiveMatch: End-to-end Semi-supervised Active Representation Learning., , and . CoRR, (2021)Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx., , , , , , , , , and 1 other author(s). CoRR, (2023)ActiveMatch: End-To-End Semi-Supervised Active Representation Learning., , and . ICIP, page 1136-1140. IEEE, (2022)An Efficient Generative Data Imputation Toolbox with Adversarial Learning., , , , , and . ICDE, page 3651-3654. IEEE, (2023)FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler., , , , , , , , and . CoRR, (2023)APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service., , , , , , , , , and 2 other author(s). e-Science, page 1-4. IEEE, (2023)Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2., , , , , , and . CoRR, (2024)Character Face in Video., , , and . (January 2023)