arxiv
PublishedJune 25, 2026 at 4:00 AM
TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems
Publisher summary· verbatim
arXiv:2606.25627v1 Announce Type: new Abstract: Distributed intelligent systems increasingly need to train across data silos without centralizing raw data. Federated learning keeps data local but can suffer under heterogeneous partitions and requires repeated full-model exchange. Split learning redu
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