We design, implement, analyse, and learn the models leveraging the power of scalable distributed computing.
“All models are wrong, but some are useful” – George E. P. Box.
Federated Learning is a machine learning approach that allows multiple parties to collaboratively...
Distributed machine learning (DML) utilizes multiple computers to train a single machine learning...
Learned data structures use machine learning techniques to improve the performance of queries. Tr...