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09/24/2022
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent
Distributed machine learning enables scalability and computational offlo...
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02/18/2022
Route Discovery and Capacity of Ad hoc Networks
Throughput capacity of large ad hoc networks has been shown to scale adv...
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02/05/2022
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting
The challenge of communication-efficient distributed optimization has at...
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02/05/2022
Distributed Learning With Sparsified Gradient Differences
A very large number of communications are typically required to solve di...
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06/05/2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping
Graph neural networks (GNNs) are processing architectures that exploit g...
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02/05/2018
