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08/14/2023
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls
Hierarchical and tree-like data sets arise in many applications, includi...
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10/28/2022
Machine Unlearning of Federated Clusters
Federated clustering is an unsupervised learning problem that arises in ...
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11/12/2020
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Federated learning enables training a global model from data located at ...
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10/15/2020
Mitigating Byzantine Attacks in Federated Learning
Prior solutions for mitigating Byzantine failures in federated learning,...
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07/07/2020
Coded Computing for Federated Learning at the Edge
Federated Learning (FL) is an exciting new paradigm that enables trainin...
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02/21/2020
Coded Federated Learning
Federated learning is a method of training a global model from decentral...
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10/02/2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
The high demand for computational and storage resources severely impede ...
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10/02/2019
A Pre-defined Sparse Kernel Based Convolutionfor Deep CNNs
The high demand for computational and storage resources severely impede ...
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02/06/2019
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning
We focus on the commonly used synchronous Gradient Descent paradigm for ...
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01/17/2018
