Finite-Sample FDR Control for Greedy Aggregation over Networks

arXiv:2609.14170 · stat.ME, cs.IT, eess.SP, math.IT, stat.ML · Submitted 2026-09-12 · Read on arXiv

stat.ME, cs.IT, eess.SP, math.IT, stat.ML

Submitted: 2026-09-12

Updated: 2026-10-07

Code: https://github.com/mehrdad-pournaderi/On-Large-Scale-Multiple-Testing-Over-Networks-A-Non-Asymptotic-Approach

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

Terminology

• Aggregation — 29× in this paper · explained in 1 episode
• Calibration — 14× in this paper · explained in 7 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Selection Bias — 9× in this paper · explained in 4 episodes
• Exchangeability — 6× in this paper · explained in 2 episodes
• Cross-Fit Greedy Aggregation — 3× in this paper
• Decoupling — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Additivity — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Non-asymptotic Analysis — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Communication-Efficient Distribution-Free Inference Over Networks
• On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
• BONuS: Multiple multivariate testing with a data-adaptivetest statistic
• Distributed Multiple Testing with False Discovery Rate Control in the Presence of Byzantines

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