Implementation Challenges in Privacy-Preserving Federated Learning

Threat Modeling In research on privacy-preserving federated learning (PPFL), the protections of a PPFL system are usually encoded in a threat model that defines what kinds of attackers the system can defend against. Some systems assume that attackers will eavesdrop on the system’s operation but won’t be able to affect its operation (a so-called honest but curious attacker), while others assume that attackers may modify or break the system’s operation (an active or fully malicious attacker).

Source: NSTIC Blog

 


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