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On top of that, the project uses a decentralized messaging fabric that can be REST, DIDComm, or another trust‑spanning protocol. This enables participants to establish relationships and exchange credentials without revealing their physical location or network topology. Each relationship uses its own random, ephemeral DIDs, making it far harder for observers running messaging infrastructure to infer who is talking to whom or to map the kernel's social graph.
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DataWorks 支持多引擎统一调度，涵盖批流处理、分布式训练等多种场景。通过标准化接口与作业编排，打破数据与AI处理之间的隔阂，实现“一次开发、多引擎运行”。这使得用户能够灵活调用不同引擎完成任务，提升资源利用率和开发效率。