Schneider-Kamp Lab

AI & ML interests

- Ressource constrained language modelling - Evaluation - Low-Bandwidth Distributed Training - Quantization - Medical Language Modelling - AI x Human

Recent Activity

JacobBITLABS  authored a paper 3 days ago

FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models

JacobBITLABS  submitted a paper 3 days ago

FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models

JacobBITLABS  updated a dataset 3 days ago

schneiderkamplab/SDU-Daisy

View all activity

Papers

FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes

View all Papers

Team members 6