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math.OC2022★ 7 cited
The Asteroid Routing Problem: A Benchmark for Expensive Black-Box Permutation Optimization
Manuel López-Ibáñez, Francisco Chicano, Rodrigo Gil-Merino
Inspired by the recent 11th Global Trajectory Optimisation Competition, this paper presents the asteroid routing problem (ARP) as a realistic benchmark of algorithms for expensive…
cs.NE2022
Optimising Communication Overhead in Federated Learning Using NSGA-II
José Ángel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano +2
Federated learning is a training paradigm according to which a server-based model is cooperatively trained using local models running on edge devices and ensuring data privacy. The…