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cs.LG2022
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments
Vivek Khimani, Shahin Jabbari
With the increased legislation around data privacy, federated learning (FL) has emerged as a promising technique that allows the clients (end-user) to collaboratively train deep le…
cs.LG2022★ 44 cited
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna, Tessa Han, Alex Gu +3
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of…