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Found 3 papers, 1 papers with code
Asynchronous Byzantine Federated Learning
Federated learning (FL) enables a set of geographically distributed clients to collectively train a model through a server.
CCBNet: Confidential Collaborative Bayesian Networks Inference
Effective large-scale process optimization in manufacturing industries requires close cooperation between different human expert parties who encode their knowledge of related domains as Bayesian network models.
DALLMi: Domain Adaption for LLM-based Multi-label Classifier
In this paper, we design DALLMi, Domain Adaptation Large Language Model interpolator, a first-of-its-kind semi-supervised domain adaptation method for text data models based on LLMs, specifically BERT.
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