2 citations · 2 across the 3 of their papers we have counts for
4 papers
From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning
Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari +4
Federated Learning (FL) has emerged as a promising solution for data hunger in centralized learning. This paradigm enables privacy with multiple clients to train a shared-task mode…
RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit
Amirhossein Ghaffari, Ali Goodarzi, Huong Nguyen +3
Community-conditioned language model adaptation needs choices about data collection, community definition, and evaluation that are currently made independently in each study, makin…
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina Gilman
Spatio-temporal forecasting on sensor graphs is commonly tackled with a single backbone architecture applied uniformly across all nodes, although graph regions can exhibit differen…
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
Amirhossein Ghaffari, Huong Nguyen, Lauri Lovén +1
Urban spatio-temporal data present unique challenges for predictive analytics due to their dynamic and complex nature. We introduce STM-Graph, an open-source Python framework that…