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02/16/2023
Federated Learning as a Network Effects Game
Federated Learning (FL) aims to foster collaboration among a population ...
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06/16/2022
On Privacy and Personalization in Cross-Silo Federated Learning
While the application of differential privacy (DP) has been well-studied...
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04/04/2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Model compression is important in federated learning (FL) with large mod...
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03/18/2022
Provably Fair Federated Learning via Bounded Group Loss
In federated learning, fair prediction across various protected groups (...
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08/30/2021
Private Multi-Task Learning: Formulation and Applications to Federated Learning
Many problems in machine learning rely on multi-task learning (MTL), in ...
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12/08/2020
Federated Multi-Task Learning for Competing Constraints
In addition to accuracy, fairness and robustness are two critical concer...
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10/16/2019
