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Found 2 papers, 1 papers with code
FLAP -- A Federated Learning Framework for Attribute-based Access Control Policies
The design of a policy transfer framework has challenges, including policy conflicts and privacy issues.
Cryptography and Security
Analyzing Federated Learning through an Adversarial Lens
Federated learning distributes model training among a multitude of agents, who, guided by privacy concerns, perform training using their local data but share only model parameter updates, for iterative aggregation at the server.
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