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Richard Lanas Phillips

2 accepted papers

2021

One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning

ICML 2021spotlight

In recent years, federated learning has been embraced as an approach for bringing about collaboration across large populations of learning agents. However, little is known about how collaboration protocols should take agents’ incentives into account when allocating individual resources for communal…

2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts

ICML 2021oral

Distribution shifts—where the training distribution differs from the test distribution—can substantially degrade the accuracy of machine learning (ML) systems deployed in the wild. Despite their ubiquity in the real-world deployments, these distribution shifts are under-represented in the datasets w…