Tag: global
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Federated Measurement of Demographic Disparities from Quantile Sketches
Federated Measurement of Demographic Disparities from Quantile Sketches arXiv:2602.18870v1 Announce Type: new Abstract: Many fairness goals are defined at a population level that misaligns with siloed data collection, which remains unsharable due to privacy regulations. Horizontal federated learning (FL) enables collaborative modeling across clients with aligned features without sharing raw data. We study federated auditing…
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From Global to Local: A Scalable Benchmark for Local Posterior Sampling
From Global to Local: A Scalable Benchmark for Local Posterior Sampling arXiv:2507.21449v1 Announce Type: new Abstract: Degeneracy is an inherent feature of the loss landscape of neural networks, but it is not well understood how stochastic gradient MCMC (SGMCMC) algorithms interact with this degeneracy. In particular, current global convergence guarantees for common SGMCMC algorithms rely…
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Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting
Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting arXiv:2506.08049v1 Announce Type: new Abstract: Subseasonal-to-seasonal (S2S) forecasting, which predicts climate conditions from several weeks to months in advance, presents significant challenges due to the chaotic dynamics of atmospheric systems and complex interactions across multiple scales. Current approaches often fail to explicitly model underlying physical processes and teleconnections…
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How to Evaluate Multilingual LLMs With Global-MMLU
How to Evaluate Multilingual LLMs With Global-MMLU Evaluation of language-specific LLM accuracy on the global Massive Multitask Language Understanding benchmark in Python Continue reading on Towards Data Science ยป Dr. Leon Eversberg Go to original source