Online Cascade Learning for Efficient Inference over Streams

no code implementations • 7 Feb 2024 • Lunyiu Nie, Zhimin Ding, Erdong Hu, Christopher Jermaine, Swarat Chaudhuri

Large Language Models (LLMs) have a natural role in answering complex queries about data streams, but the high computational cost of LLM inference makes them infeasible in many such tasks.

Imitation Learning

Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat

no code implementations • ICCV 2023 • Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine

We carefully evaluate a number of algorithms for learning in a federated environment, and test their utility for a variety of image classification tasks.

Classification Federated Learning +1