4 citations · 11 across the 14 of their papers we have counts for
3 papers · 1 filter
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning
Adrien Banse, Venkatraman Renganathan, Raphaël M. Jungers
We extend the notion of Cantor-Kantorovich distance between Markov chains introduced by (Banse et al., 2023) in the context of Markov Decision Processes (MDPs). The proposed metric…
Federated Learning with Differential Privacy
Adrien Banse, Jan Kreischer, Xavier Oliva i Jürgens
Federated learning (FL), as a type of distributed machine learning, is capable of significantly preserving client's private data from being shared among different parties. Neverthe…
Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]
Adrien Banse, Licio Romao, Alessandro Abate +1
We introduce an adaptive refinement procedure for smart, and scalable abstraction of dynamical systems. Our technique relies on partitioning the state space depending on the observ…