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08/16/2022
Knowledge-Injected Federated Learning
Federated learning is an emerging technique for training models from dec...
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01/26/2022
A dual approach for federated learning
We study the federated optimization problem from a dual perspective and ...
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01/07/2022
Fair and efficient contribution valuation for vertical federated learning
Federated learning is a popular technology for training machine learning...
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09/19/2021
Improving Fairness for Data Valuation in Federated Learning
Federated learning is an emerging decentralized machine learning scheme ...
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10/14/2020
Polar Deconvolution of Mixed Signals
The signal demixing problem seeks to separate the superposition of multi...
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12/11/2019