Nathaniel Hudson

Orcid: 0000-0001-7474-2689

Affiliations:
  • University of Chicago, IL, USA


According to our database1, Nathaniel Hudson authored at least 36 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis.
ACM J. Data Inf. Qual., June, 2024

Deadline-Aware Task Offloading for Vehicular Edge Computing Networks Using Traffic Light Data.
ACM Trans. Embed. Comput. Syst., January, 2024

QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing.
Future Gener. Comput. Syst., 2024

Mitigating Memorization In Language Models.
CoRR, 2024

Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning.
CoRR, 2024

Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning.
CoRR, 2024

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.
IEEE Instrum. Meas. Mag., December, 2023

Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism.
CoRR, 2023

Hierarchical and Decentralised Federated Learning.
CoRR, 2023

Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Accelerating Communications in Federated Applications with Transparent Object Proxies.
Proceedings of the International Conference for High Performance Computing, 2023

Tournament-Based Pretraining to Accelerate Federated Learning.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Balancing Federated Learning Trade-Offs for Heterogeneous Environments.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022
Smart Edge-Enabled Traffic Light Control: Improving Reward-Communication Trade-offs with Federated Reinforcement Learning.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

FLoX: Federated Learning with FaaS at the Edge.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

Communication-Loss Trade-Off in Federated Learning: A Distributed Client Selection Algorithm.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021
Behavioral Information Diffusion for Opinion Maximization in Online Social Networks.
IEEE Trans. Netw. Sci. Eng., 2021

QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

2020
Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data.
Proceedings of the IEEE International Conference on Smart Computing, 2020

A Proximity-Based Generative Model for Online Social Network Topologies.
Proceedings of the International Conference on Computing, Networking and Communications, 2020

Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services.
Proceedings of the IEEE Globecom Workshops, 2020

2019
Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests.
CoRR, 2019

Influence spread in two-layer interdependent networks: designed single-layer or random two-layer initial spreaders?
Appl. Netw. Sci., 2019

On the Effectiveness of Standard Centrality Metrics for Interdependent Networks.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018
Supporting Remote Real-Time Expert Help: Opportunities and Challenges for Novice 3D Modelers.
Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, 2018

Investigating How Online Help and Learning Resources Support Children's Use of 3D Design Software.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2016
Barriers to Using, Customizing, and Printing 3D Designs on Thingiverse.
Proceedings of the 19th International Conference on Supporting Group Work, Sanibel Island, FL, USA, November 13, 2016

Understanding Newcomers to 3D Printing: Motivations, Workflows, and Barriers of Casual Makers.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Understanding triggers for clarification requests in community-based software help forums.
Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015


  Loading...