default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNathaniel Hudson
Person information
- affiliation: University of Chicago, IL, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[i14]Xiaoli Yan, Nathaniel Hudson, Hyun Park, Daniel Grzenda, J. Gregory Pauloski, Marcus Schwarting, Haochen Pan, Hassan Harb, Sam Foreman, Chris Knight, Tom Gibbs, Kyle Chard, Santanu Chaudhuri, Emad Tajkhorshid, Ian T. Foster, Mohamad Moosavi, Logan T. Ward, Eliu A. Huerta:
MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow. CoRR abs/2501.10651 (2025)- 2024
- [j6]Nathaniel Hudson
, Hana Khamfroush, Matt Baughman, Daniel E. Lucani, Kyle Chard, Ian T. Foster:
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Gener. Comput. Syst. 157: 250-263 (2024) - [j5]Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev:
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. ACM J. Data Inf. Qual. 16(2): 14:1-14:32 (2024) - [j4]Pratham Oza, Nathaniel Hudson, Thidapat Chantem, Hana Khamfroush:
Deadline-Aware Task Offloading for Vehicular Edge Computing Networks Using Traffic Light Data. ACM Trans. Embed. Comput. Syst. 23(1): 8:1-8:25 (2024) - [c24]André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 2024: 1-10 - [c23]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. e-Science 2024: 1-10 - [i13]Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024) - [i12]Ashka Shah, Adela DePavia, Nathaniel Hudson, Ian T. Foster, Rick Stevens:
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning. CoRR abs/2406.06348 (2024) - [i11]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. CoRR abs/2408.07236 (2024) - [i10]Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard:
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning. CoRR abs/2409.16495 (2024) - [i9]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney:
Mitigating Memorization In Language Models. CoRR abs/2410.02159 (2024) - [i8]Arham Khan, Todd Nief, Nathaniel Hudson, Mansi Sakarvadia, Daniel Grzenda, Aswathy Ajith, Jordan Pettyjohn, Kyle Chard, Ian T. Foster:
SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques. CoRR abs/2410.12927 (2024) - 2023
- [j3]Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra:
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. IEEE Instrum. Meas. Mag. 26(9): 21-31 (2023) - [c22]Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 2023: 15:1-15:10 - [c21]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. BlackboxNLP@EMNLP 2023: 342-356 - [c20]Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
Balancing Federated Learning Trade-Offs for Heterogeneous Environments. PerCom Workshops 2023: 404-407 - [c19]J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster:
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC 2023: 59:1-59:15 - [c18]Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard:
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops 2023: 109-115 - [c17]Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman:
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices. WF-IoT 2023: 1-6 - [c16]André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster:
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. ICPE (Companion) 2023: 95-99 - [i7]Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan:
Hierarchical and Decentralised Federated Learning. CoRR abs/2304.14982 (2023) - [i6]J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster:
Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR abs/2305.09593 (2023) - [i5]Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman:
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices. CoRR abs/2308.14658 (2023) - [i4]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models. CoRR abs/2309.05605 (2023) - [i3]Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism. CoRR abs/2310.16270 (2023) - 2022
- [c15]Minoo Hosseinzadeh, Nathaniel Hudson, Sam Heshmati, Hana Khamfroush:
Communication-Loss Trade-Off in Federated Learning: A Distributed Client Selection Algorithm. CCNC 2022: 1-6 - [c14]Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard:
FLoX: Federated Learning with FaaS at the Edge. e-Science 2022: 11-20 - [c13]Nathaniel Hudson, Pratham Oza, Hana Khamfroush, Thidapat Chantem:
Smart Edge-Enabled Traffic Light Control: Improving Reward-Communication Trade-offs with Federated Reinforcement Learning. SMARTCOMP 2022: 40-47 - 2021
- [j2]Nathaniel Hudson, Hana Khamfroush:
Behavioral Information Diffusion for Opinion Maximization in Online Social Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 1259-1268 (2021) - [c12]Minoo Hosseinzadeh, Nathaniel Hudson, Xiaobo Zhao, Hana Khamfroush, Daniel E. Lucani:
Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. DySPAN 2021: 254-261 - [c11]Nathaniel Hudson, Md. Jakir Hossain, Minoo Hosseinzadeh, Hana Khamfroush, Mahshid Rahnamay-Naeini, Nasir Ghani:
A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning. ICCCN 2021: 1-9 - [c10]Nathaniel Hudson, Hana Khamfroush, Daniel E. Lucani:
QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. ICCCN 2021: 1-8 - [i2]Nathaniel Hudson, Hana Khamfroush, Daniel E. Lucani:
QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. CoRR abs/2104.15094 (2021) - 2020
- [c9]Xiaobo Zhao, Minoo Hosseinzadeh, Nathaniel Hudson, Hana Khamfroush, Daniel E. Lucani:
Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. GLOBECOM (Workshops) 2020: 1-6 - [c8]Emory Hufbauer, Nathaniel Hudson, Hana Khamfroush:
A Proximity-Based Generative Model for Online Social Network Topologies. ICNC 2020: 648-653 - [c7]Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig:
Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data. SMARTCOMP 2020: 172-179
2010 – 2019
- 2019
- [j1]Hana Khamfroush, Nathaniel Hudson, Samuel Lofumbwa Iloo, Mahshid Rahnamay-Naeini:
Influence spread in two-layer interdependent networks: designed single-layer or random two-layer initial spreaders? Appl. Netw. Sci. 4(1): 40:1-40:21 (2019) - [c6]Nathaniel Hudson, Matthew Turner, Asare Nkansah, Hana Khamfroush:
On the Effectiveness of Standard Centrality Metrics for Interdependent Networks. ICNC 2019: 842-846 - [i1]Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig:
Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests. CoRR abs/1911.02061 (2019) - 2018
- [c5]Nathaniel Hudson, Benjamin J. Lafreniere, Parmit K. Chilana, Tovi Grossman:
Investigating How Online Help and Learning Resources Support Children's Use of 3D Design Software. CHI 2018: 257 - [c4]Parmit K. Chilana, Nathaniel Hudson, Srinjita Bhaduri, Prashant Shashikumar, Shaun K. Kane:
Supporting Remote Real-Time Expert Help: Opportunities and Challenges for Novice 3D Modelers. VL/HCC 2018: 157-166 - 2016
- [c3]Nathaniel Hudson, Celena Alcock, Parmit K. Chilana:
Understanding Newcomers to 3D Printing: Motivations, Workflows, and Barriers of Casual Makers. CHI 2016: 384-396 - [c2]Celena Alcock, Nathaniel Hudson, Parmit K. Chilana:
Barriers to Using, Customizing, and Printing 3D Designs on Thingiverse. GROUP 2016: 195-199 - 2015
- [c1]Nathaniel Hudson, Parmit K. Chilana, Xiaoyu Guo, Jason Day, Edmund Liu:
Understanding triggers for clarification requests in community-based software help forums. VL/HCC 2015: 189-193
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-24 22:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
