From the 1 of 7 linked papers with an AI index.
7 papers
LM-GRASP: Instance-Specific Language Models for Combinatorial Construction via Online Imitation Learning
Mohand Mezmaz, Grégoire Danoy
The paper introduces LM-GRASP, a method that trains a Transformer-based construction policy online for each combinatorial optimization instance using imitation learning from a loca…
SkyHOST: A Unified Architecture for Cross-Cloud Hybrid Object and Stream Transfer
Muhammad Arslan Tariq, Grégoire Danoy, Pascal Bouvry
Cloud and big data workloads are increasingly distributing data across multiple cloud providers and regions for rapid decision-making and analytics. Traditional transfer tools are…
A Distance Metric for Mixed Integer Programming Instances
Gwen Maudet, Grégoire Danoy
Mixed-integer linear programming (MILP) is a powerful tool for addressing a wide range of real-world problems, but it lacks a clear structure for comparing instances. A reliable si…
Multi-objective methods in Federated Learning: A survey and taxonomy
Maria Hartmann, Grégoire Danoy, Pascal Bouvry
The Federated Learning paradigm facilitates effective distributed machine learning in settings where training data is decentralized across multiple clients. As the popularity of th…
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences
Maria Hartmann, Grégoire Danoy, Pascal Bouvry
Federated Learning (FL) is a distributed machine learning strategy, developed for settings where training data is owned by distributed devices and cannot be shared. FL circumvents…
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
Jingjing Xu, Caesar Wu, Yuan-Fang Li +2
Transformer-based models for time series forecasting (TSF) have attracted significant attention in recent years due to their effectiveness and versatility. However, these models of…