2 papers
cs.LG2026
COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication
Ben Rachmut, Luise Ge, William Yeoh +2
Federated learning (FL) in heterogeneous environments remains challenging because client models often differ in both architecture and data distribution. While recent approaches att…
cs.AI2025
Explainable Distributed Constraint Optimization Problems
Ben Rachmut, Stylianos Loukas Vasileiou, Nimrod Meir Weinstein +2
The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful tool to model cooperative multi-agent problems that need to be solved distributively. A core assump…