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FS-Real: A Real-World Cross-Device Federated Learning Platform.

, , , , , , , and . Proc. VLDB Endow., 16 (12): 4046-4049 (2023)

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Hu-Fu: A Data Federation System for Secure Spatial Queries., , , , , , , , , and 2 other author(s). Proc. VLDB Endow., 15 (12): 3582-3585 (2022)Data-Juicer: A One-Stop Data Processing System for Large Language Models., , , , , , , , , and 3 other author(s). CoRR, (2023)FS-Real: A Real-World Cross-Device Federated Learning Platform., , , , , , , and . Proc. VLDB Endow., 16 (12): 4046-4049 (2023)AgentScope: A Flexible yet Robust Multi-Agent Platform., , , , , , , , , and 4 other author(s). CoRR, (2024)EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models., , , , and . CoRR, (2024)FS-REAL: Towards Real-World Cross-Device Federated Learning., , , , , , , and . KDD, page 3829-3841. ACM, (2023)FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning., , , , , , , , , and . CoRR, (2023)EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism., , , , and . CoRR, (2023)Hu-Fu: Efficient and Secure Spatial Queries over Data Federation., , , , , , , , , and 1 other author(s). Proc. VLDB Endow., 15 (6): 1159-1172 (2022)