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 4 days ago

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

JacobBITLABS  submitted a paper 4 days ago

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

JacobBITLABS  updated a dataset 4 days ago

schneiderkamplab/SDU-Daisy

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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

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Team members 6