Justin Dachille

According to our database, Justin Dachille authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network.

Justin Dachille, Aurora Rossi, Sunil Kumar Maurya, Frederik Mallmann-Trenn, Xin Liu, Frédéric Giroire, Tsuyoshi Murata, Emanuele Natale

CoRR, February, 2026

2024

When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation.

Chao Huang, Justin Dachille, Xin Liu

IEEE Internet Things J., 2024

The Impact of Cut Layer Selection in Split Federated Learning.

Justin Dachille, Chao Huang, Xin Liu

CoRR, 2024

Technical Report: Coopetition in Heterogeneous Cross-Silo Federated Learning.

Chao Huang, Justin Dachille, Xin Liu

CoRR, 2024

An Accuracy-Shaping Mechanism for Competitive Distributed Learning.

Chao Huang, Justin Dachille, Xin Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Coopetition in Heterogeneous Cross-Silo Federated Learning.

Chao Huang, Justin Dachille, Xin Liu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024