David Eklund

According to our database, David Eklund authored at least 17 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Computing Geometric Feature Sizes for Algebraic Manifolds.

Sandra Di Rocco, Parker B. Edwards, David Eklund, Oliver Gäfvert, Jonathan D. Hauenstein

SIAM J. Appl. Algebra Geom., December, 2023

FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning.

Han Wang, David Eklund, Alina Oprea, Shahid Raza

ACM Trans. Internet Things, August, 2023

SparSFA: Towards robust and communication-efficient peer-to-peer federated learning.

Han Wang, Luis Muñoz-González, Muhammad Zaid Hameed, David Eklund, Shahid Raza

Comput. Secur., June, 2023

The numerical algebraic geometry of bottlenecks.

David Eklund

Adv. Appl. Math., 2023

Privacy-preserving Federated Learning System for Fatigue Detection.

Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022

Sampling and homology via bottlenecks.

Sandra Di Rocco, David Eklund, Oliver Gäfvert

Math. Comput., 2022

Identifying latent distances with Finslerian geometry.

Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg

CoRR, 2022

2021

Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection.

Han Wang, Luis Muñoz-González, David Eklund, Shahid Raza

Proceedings of the WiSec '21: 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks, Abu Dhabi, United Arab Emirates, 28 June, 2021

Excess intersections and numerical irreducible decompositions.

Daniel J. Bates, David Eklund, Jonathan D. Hauenstein, Chris Peterson

Proceedings of the 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2021

2020

The Bottleneck Degree of Algebraic Varieties.

Sandra Di Rocco, David Eklund, Madeleine Weinstein

SIAM J. Appl. Algebra Geom., 2020

Variational Autoencoders with Riemannian Brownian Motion Priors.

Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Expected path length on random manifolds.

David Eklund, Søren Hauberg

CoRR, 2019

2018

Numerical polar calculus and cohomology of line bundles.

Sandra Di Rocco, David Eklund, Chris Peterson

Adv. Appl. Math., 2018

2014

Perturbed homotopies for finding all isolated solutions of polynomial systems.

Daniel J. Bates, Brent R. Davis, David Eklund, Eric M. Hanson, Chris Peterson

Appl. Math. Comput., 2014

2013

Computing intersection numbers of Chern classes.

Daniel J. Bates, David Eklund, Chris Peterson

J. Symb. Comput., 2013

2011

Chern numbers of smooth varieties via homotopy continuation and intersection theory.

Sandra Di Rocco, David Eklund, Chris Peterson, Andrew J. Sommese

J. Symb. Comput., 2011

2010

Algebraic C^*-actions and the inverse kinematics of a general 6R manipulator.

Sandra Di Rocco, David Eklund, Andrew J. Sommese, Charles W. Wampler

Appl. Math. Comput., 2010