3 papers
cs.MA2026
Decentralized collaborative continual learning: A multi-objective minimization-based technique
Yara Zgheib, Marc Antonini, Roula Nassif
In this work, we formulate decentralized continual learning within a multi-objective optimization framework. For a given inference task t (corresponding to a common minimizer share…
cs.LG2025
A non-smooth regularization framework for learning over multitask graphs
Yara Zgheib, Luca Calatroni, Marc Antonini +1
In this work, we consider learning over multitask graphs, where each agent aims to estimate its own parameter vector. Although agents seek distinct objectives, collaboration among…
cs.MA2024
Differential error feedback for communication-efficient decentralized learning
Roula Nassif, Stefan Vlaski, Marco Carpentiero +2
Communication-constrained algorithms for decentralized learning and optimization rely on local updates coupled with the exchange of compressed signals. In this context, differentia…