Kevin Miller

Efficient and Reliable Overlay Networks for Decentralized Federated Learning

2021 · arXiv (Cornell University)

We propose near-optimal overlay networks based on $d$-regular expander graphs to accelerate decentralized federated learning (DFL) and improve its generalization. In DFL a massive number of clients are connected by an overlay network, and they …

Efficient Graph-Based Active Learning with Probit Likelihood via\n Gaussian Approximations

2020 · arXiv (Cornell University)

We present a novel adaptation of active learning to graph-based\nsemi-supervised learning (SSL) under non-Gaussian Bayesian models. We present\nan approximation of non-Gaussian distributions to adapt previously\nGaussian-based acquisition functions to these more general cases. We develop an\nefficient …