Federated Subspace Guided Vision-Language-Action Policy Distillation for Non-IID Multi-Robot Manipulation

arXiv:2609.32239 · cs.RO, cs.CV, cs.DC, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.RO, cs.CV, cs.DC, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Distillation — 33× in this paper · explained in 2 episodes
• Aggregation — 32× in this paper · explained in 1 episode
• Adaptation — 15× in this paper · explained in 1 episode
• Clustering — 10× in this paper · explained in 2 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Federated Learning — 7× in this paper · explained in 15 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Model Merging — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Continual Learning — 2× in this paper · explained in 2 episodes
• IEEE International Conference on Robotics and Automation — 2× in this paper
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Mixture-of-Experts (MoE) — 2× in this paper · explained in 7 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Compatible Update Aggregation — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Model Drift — 1× in this paper · explained in 4 episodes
• Non-IID Data — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Subspace-Boosted Model Merging

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