Federated Martingale Posterior Samping

arXiv:2605.18554 · cs.LG, stat.ML · Submitted 2026-05-18 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-05-18

Updated: 2026-09-25

Comments: 5 pages

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

Terminology

• Accuracy — 12× in this paper · explained in 1 episode
• Calibration — 9× in this paper · explained in 7 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Communication Overhead — 2× in this paper · explained in 2 episodes
• Consensus Federated Martingale Posterior — 2× in this paper
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Conformal Prediction — 1× in this paper · explained in 5 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Pooling by Multihead Attention — 1× in this paper
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• On the Opportunities and Risks of Foundation Models
• Bayesian Predictive Inference Beyond Martingales
• Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

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