LNTrust has nodes learn compact trust functions from validation evidence that both guide training distillation and define deployment ensembles, yielding higher accuracy with less communication than prior output-only baselines.
Model-contrastive federated learning
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ForgeVLA enables federated VLA model training from unlabeled vision-action pairs by recovering language via embodied classifiers and using contrastive planning plus adaptive aggregation to avoid feature collapse.
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ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations
ForgeVLA enables federated VLA model training from unlabeled vision-action pairs by recovering language via embodied classifiers and using contrastive planning plus adaptive aggregation to avoid feature collapse.