Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study

arXiv:2609.23521 · cs.LG, cs.NI · Submitted 2026-09-20 · Read on arXiv

cs.LG, cs.NI

Submitted: 2026-09-20

Updated: 2026-09-20

Code: https://github.com/ntop/nDPI

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

Terminology

• Aggregation — 24× in this paper · explained in 1 episode
• Federated Learning — 14× in this paper · explained in 15 episodes
• Differential Privacy — 11× in this paper · explained in 4 episodes
• Adaptation — 8× in this paper · explained in 1 episode
• Differentially Private — 8× in this paper · explained in 3 episodes
• AUC — 6× in this paper · explained in 2 episodes
• Feature Selection — 4× in this paper · explained in 4 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Non-IID Data — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Differential Privacy (DP) — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• IEEE Symposium on Security and Privacy — 1× in this paper
• Two-stage training — 1× in this paper · explained in 2 episodes

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