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Found 3 papers, 3 papers with code
Attacks of fairness in Federated Learning
It is now well understood that by controlling only a small subset of FL clients, it is possible to introduce a backdoor to a federated learning model, in the presence of certain attributes.
FDAPT: Federated Domain-adaptive Pre-training for Language Models
Foundation models (FMs) have shown prominent success in a wide range of tasks.
A Federated Learning Benchmark for Drug-Target Interaction
Aggregating pharmaceutical data in the drug-target interaction (DTI) domain has the potential to deliver life-saving breakthroughs.
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