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Found 2 papers, 1 papers with code
Blockchain-based Secure Client Selection in Federated Learning
However, we show that, by manipulating the client selection process, the server can circumvent the secure aggregation to learn the local models of a victim client, indicating that secure aggregation alone is inadequate for privacy protection.
Cost-aware Targeted Viral Marketing in billion-scale networks
In this paper, we propose a new problem, called Cost-aware Targeted Viral Marketing (CTVM), to find the most cost-effective seed users who can influence the most relevant users to the advertisement.
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