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09/06/2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
We carefully evaluate a number of algorithms for learning in a federated...
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06/01/2023
Chain-Of-Thought Prompting Under Streaming Batch: A Case Study
Recently, Large Language Models (LLMs) have demonstrated remarkable capa...
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05/31/2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
The relational data model was designed to facilitate large-scale data ma...
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05/17/2023
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Large Language Models (LLMs), armed with billions of parameters, exhibit...
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10/23/2021
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
Federated learning enables many local devices to train a deep learning m...
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09/01/2020
Tensor Relational Algebra for Machine Learning System Design
Machine learning (ML) systems have to support various tensor operations....
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08/04/2019