PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes 事件

PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes arXiv:2601.05613v2 Announce Type: replace-cross Abstract: While collaborative forecasting on distributed time series is highly desirable, directly pooling localized datasets is often impractical due to data sharing constraints. Federated learning offers a promising alternative, yet conventional federated learning algorithms require homogeneous model architectures, which are incompatible with the structur