15 citations · 31 across the 8 of their papers we have counts for
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cs.LG2024
Energy-Aware Decentralized Learning with Intermittent Model Training
Akash Dhasade, Paolo Dini, Elia Guerra +5
Decentralized learning (DL) offers a powerful framework where nodes collaboratively train models without sharing raw data and without the coordination of a central server. In the i…
cs.LG2024
Fairness Auditing with Multi-Agent Collaboration
Martijn de Vos, Akash Dhasade, Jade Garcia Bourrée +4
Existing work in fairness auditing assumes that each audit is performed independently. In this paper, we consider multiple agents working together, each auditing the same platform…