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Found 2 papers, 1 papers with code
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
Vertical Federated Learning (VFL) is an emergent distributed machine learning paradigm wherein owners of disjoint features of a common set of entities collaborate to learn a global model without sharing data.
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning
The Train-Offline-Test-Online (TOTO) Benchmark provides a well-curated open-source dataset for offline training comprised mostly of expert data and also benchmark scores of the common offline-RL and behaviour cloning agents.
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