ABC: Numerical Data Collection under Local Differential Privacy without Prior Knowledge

arXiv:2608.05737 · cs.CR, cs.AI, cs.LG · Submitted 2026-08-06 · Read on arXiv

Incheol Baek, Hyungbin Kim, Yon Dohn Chung

cs.CR, cs.AI, cs.LG

Submitted: 2026-08-06

Comments: Accepted at IEEE ICDE 2026

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

Terminology

• Differential Privacy — 17× in this paper · explained in 5 episodes
• Local Differential Privacy — 12× in this paper
• Robustness — 12× in this paper · explained in 6 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Hyperparameters — 8× in this paper · explained in 2 episodes
• Ablation Studies — 5× in this paper · explained in 1 episode
• Ablation Study — 5× in this paper · explained in 3 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Differentially Private — 4× in this paper · explained in 3 episodes
• Loss Function — 4× in this paper · explained in 2 episodes
• Wasserstein Distance — 4× in this paper · explained in 6 episodes
• Bias-Variance Trade-off — 3× in this paper · explained in 4 episodes
• Local Differential Privacy (LDP) — 3× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 3 episodes
• Clarity — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Federated Learning — 2× in this paper · explained in 19 episodes
• Inflation — 2× in this paper · explained in 2 episodes
• International Conference on Data Engineering — 2× in this paper
• Lyapunov function — 2× in this paper · explained in 2 episodes
• Non-IID Data — 2× in this paper · explained in 2 episodes
• Systematic Bias — 2× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 5 episodes
• Mean Squared Error — 1× in this paper
• Root Mean Square Error — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes

Sources

• N-output Mechanism: Estimating Statistical Information from Numerical Data under Local Differential Privacy
• Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy

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