Federated Targeted Maximum Likelihood Estimation

arXiv:2609.30503 · cs.LG, cs.DC, stat.CO · Submitted 2026-09-24 · Read on arXiv

cs.LG, cs.DC, stat.CO

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Federated Learning — 13× in this paper · explained in 14 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Aggregation — 7× in this paper · explained in 1 episode
• Causal Inference — 6× in this paper · explained in 4 episodes
• Elias — 5× in this paper · explained in 2 episodes
• Adaptivity — 3× in this paper · explained in 1 episode
• Optimal Transport — 3× in this paper · explained in 5 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Admissibility — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Inverse Problem — 2× in this paper · explained in 2 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Influence Functions — 1× in this paper · explained in 2 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes

Sources

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