FedCKA: Representation-Guided Layer Personalization for Federated 3D Perception Across Driving Domains

arXiv:2610.01510 · cs.CV, cs.RO · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/jverhoog/FedCKA

Terminology

• Personalization — 47× in this paper · explained in 2 episodes
• Aggregation — 13× in this paper · explained in 1 episode
• Benchmark — 12× in this paper · explained in 2 episodes
• Federated Learning — 12× in this paper · explained in 15 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Generalization — 7× in this paper · explained in 13 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Domain Shift — 6× in this paper · explained in 4 episodes
• Centered Kernel Alignment — 4× in this paper
• Consistency — 4× in this paper · explained in 3 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Data Heterogeneity — 3× in this paper · explained in 3 episodes
• Centered Kernel Alignment (CKA) — 2× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Federated Learning (FL) — 2× in this paper · explained in 7 episodes
• Intelligent Vehicles — 2× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Car Average Precision — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Cross-Modal Transformer — 1× in this paper
• Decoupling — 1× in this paper · explained in 2 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Fisher Information — 1× in this paper · explained in 3 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Transferability — 1× in this paper · explained in 4 episodes

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