Co-occurring keywords · papers mentioning both
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