112 citations · 154 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 42 cited
Mitigating Bias in Federated Learning
Annie Abay, Yi Zhou, Nathalie Baracaldo +3
As methods to create discrimination-aware models develop, they focus on centralized ML, leaving federated learning (FL) unexplored. FL is a rising approach for collaborative ML, in…
cs.LG2020★ 112 cited
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21
Federated Learning (FL) is an approach to conduct machine learning without centralizing training data in a single place, for reasons of privacy, confidentiality or data volume. How…