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Defending against Poisoning Backdoor Attacks on Federated Meta-learning
Federated learning allows multiple users to collaboratively train a shared classification model while preserving data privacy.
Achieving Transparency Report Privacy in Linear Time
However, a provably formal study of the impact to data subjects' privacy caused by the utility of releasing an ATR (that investigates transparency and fairness), is yet to be addressed in the literature.
Backdoor Attacks on Federated Meta-Learning
Federated learning allows multiple users to collaboratively train a shared classification model while preserving data privacy.
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