Person
Ljubomir Rokvic
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A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning
Boi Faltings, Ljubomir Rokvic, Panayiotis Danassis
Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...
2023