Beyond Domain-Level Adaptation: Margin-Oriented Semantic-Appearance Interaction Correction for Personalized Federated Vision-Language Models

arXiv:2610.01625 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

Accuracy — 26× in this paper · explained in 1 episode
Adaptation — 26× in this paper · explained in 1 episode
Generalization — 10× in this paper · explained in 13 episodes
Benchmark — 9× in this paper · explained in 2 episodes
Federated Learning — 8× in this paper · explained in 15 episodes
Personalization — 8× in this paper · explained in 2 episodes
Alignment — 6× in this paper · explained in 1 episode
Aggregation — 5× in this paper · explained in 1 episode
Domain Shift — 5× in this paper · explained in 4 episodes
Regularization — 5× in this paper · explained in 3 episodes
Robustness — 5× in this paper · explained in 5 episodes
Ablation — 4× in this paper · explained in 1 episode
Fine-Tuning — 4× in this paper · explained in 5 episodes
Domain Adaptation — 3× in this paper · explained in 5 episodes
Foundation Model — 3× in this paper · explained in 3 episodes
Local Optimization — 3× in this paper · explained in 2 episodes
Abstraction — 2× in this paper · explained in 1 episode
Consistency — 2× in this paper · explained in 3 episodes
Data Heterogeneity — 2× in this paper · explained in 3 episodes
Margin-Oriented Semantic-Appearance Interaction Correction — 2× in this paper
Optimal Transport — 2× in this paper · explained in 5 episodes
Parameter-Efficient Fine-Tuning — 2× in this paper · explained in 2 episodes
Adversarial Training — 1× in this paper · explained in 1 episode
Communication Overhead — 1× in this paper · explained in 2 episodes
Cooperation — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Dynamic Adaptation — 1× in this paper · explained in 2 episodes
Federated Learning (FL) — 1× in this paper · explained in 7 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Parameter Efficiency — 1× in this paper · explained in 3 episodes
Parameter-Efficient Fine-Tuning (PEFT) — 1× in this paper · explained in 4 episodes
Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes
Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Terminology

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