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Fall 2024
Semester: Fall 2024
Proposals
Learning-to-rank methods for query optimization
Debiasing medical image datasets to improve machine learning robustness and fairness
A Framework for Systematic Performance Experiments for Machine Learning
Analysis of Checkpointing during Deep Learning Model Training
BLOX for Deep Learning Task Scheduling with GPU Collocation
Data Attribution on Progressive Datasets for Deep Learning
Efficient Data Selection Methods for Machine Learning
Flexible Data Placement on SSDs for Database Systems
How much Data Movement is Being Saved?
Incremental Model Updates on Tiny Hardware
Machine Learning Models for the Edge
Resource Management on Tiny Hardware
Exploring connections of spectral learning priority and learning task
Learning-based image quality enhancement on CubeSat
Cubesat LoRa module
Innovative Satellite LoRa use cases
Machine learning on optical fiber sensor data
Extreme networking
Exploiting Edge Devices for Data-Intensive Applications
Deconstructed Cloud Databases, Part I: Atomic Counters
Deconstructed Cloud Databases, Part II: Open Dictionary Metadata
Big data processing with Apache Wayang
Combine Knowledge Graph Embeddings and Reasoning
Reduce energy consumption with Apache Wayang
Training data generation for data management systems
Logging in Open-Source JavaScript Applications
Projects