Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation

arXiv:2609.17284 · cs.LG, stat.ML, stat.OT · Submitted 2026-09-15 · Read on arXiv

cs.LG, stat.ML, stat.OT

Submitted: 2026-09-15

Updated: 2026-09-15

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 23× in this paper · explained in 1 episode
• Distillation — 23× in this paper · explained in 2 episodes
• Federated Learning — 21× in this paper · explained in 14 episodes
• Aggregation — 18× in this paper · explained in 1 episode
• Personalization — 10× in this paper · explained in 2 episodes
• Adaptation — 8× in this paper · explained in 1 episode
• Knowledge Distillation — 8× in this paper · explained in 11 episodes
• Local Optimization — 7× in this paper · explained in 2 episodes
• Non-IID Data — 4× in this paper · explained in 2 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Calibration — 3× in this paper · explained in 7 episodes
• Core — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Data Heterogeneity — 2× in this paper · explained in 3 episodes
• Domain Shift — 2× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Decentralized Federated Learning — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• International Conference on Learning Representations — 1× in this paper

Sources

• Federated Learning with Personalization Layers
• pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
• Distilling the Knowledge in a Neural Network

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