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Matching Table Metadata with Business Glossaries Using Large Language Models
The resulting matching enables the use of an available or curated business glossary for retrieval and analysis without or before requesting access to the data contents.
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
These new algorithms can handle statistical and sys- tem heterogeneity, which are the two main challenges in federated learning, while achieving the best known communication complexity.
Evaluating Robustness of Cooperative MARL
In recent years, a proliferation of methods were developed for multi-agent reinforcement learning (MARL).
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