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FedSHARP (Federated Structure-aware Hypergraph Anchored Representation Preservation), a structure-aware framework for federated hypergraph continual learning, is proposed and evaluated, demonstrating that preserving both node-level semantics and high-order hyperedge structures is important for federated hypergraph cont...
DNative-Twin is presented, a graph-native digital twin that records a committed agentic decision as a typed trajectory and re-executes its decision mechanism under declared conditions and instantiates the framework in enterprise decision processes using three public process logs and controlled replay suites.
FedAnchor is proposed, an anchored and adaptive FL framework for resource-heterogeneous fault diagnosis that couples resource-aware submodel allocation with structurally aligned aggregation and achieves competitive or superior accuracy compared with representative homogeneous and model-heterogeneous FL baselines.
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