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Nathaniel Hudson
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- affiliation: University of Chicago, IL, USA
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2020 – today
- 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) - [i9]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) - [i8]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) - 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
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last updated on 2024-08-11 00:11 CEST by the dblp team
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