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local model

21 papers

Papers

Collaborative LLM Numerical Reasoning with Local Data Protection AAAI 2026 Novel or Drivel? Variants of Invariants for Teaching NLP in the LLM Era EACL 2026 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025 PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles NAACL 2025 Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees ICML 2025 A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation ACL 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024 Collaborative Alignment of NLP Models NeurIPS 2023 Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023 Private Rank Aggregation in Central and Local Models AAAI 2022 Locally Private k-Means in One Round ICML 2021 Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020 Scalable Global Optimization via Local Bayesian Optimization NeurIPS 2019 Local Private Hypothesis Testing: Chi-Square Tests ICML 2018 Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis IJCNLP 2017 Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016 Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Simple Local Models for Complex Dynamical Systems NeurIPS 2008