David Eklund

24 papers A* 1B 1C 1Misc 2Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Certifying Robustness via Topological Representations.
CoRR
Jens Agerberg, Andrea Guidolin, Andrea Martinelli, Pepijn Roos Hoefgeest, David Eklund, Martina Scolamiero
2025 B conf
Privacy Enhancing Federated Learning for Predicting Energy Consumption in Smart Buildings.
IJCNN
Sima Sinaei, Mohammadreza Mohammadi, David Eklund, Henrik Abrahamsson
2024 — conf
BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection.
ESORICS (2)
David Eklund, Alfonso Iacovazzi, Han Wang, Apostolos Pyrgelis, Shahid Raza
2024 C conf
PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection.
DSD
Sima Sinaei, Mohammadreza Mohammadi, Rakesh Shrestha, Mina Alibeigi, David Eklund
2023 J jnl
Computing Geometric Feature Sizes for Algebraic Manifolds.
SIAM J. Appl. Algebra Geom.
Sandra Di Rocco, Parker B. Edwards, David Eklund, Oliver Gäfvert, Jonathan D. Hauenstein
2023 J jnl
FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning.
ACM Trans. Internet Things
Han Wang, David Eklund, Alina Oprea, Shahid Raza
2023 J jnl
Identifying latent distances with Finslerian geometry.
Trans. Mach. Learn. Res.
Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg
2023 Misc conf
Privacy-preserving Federated Learning System for Fatigue Detection.
CSR
Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei
2023 J jnl
SparSFA: Towards robust and communication-efficient peer-to-peer federated learning.
Comput. Secur.
Han Wang, Luis Muñoz-González, Muhammad Zaid Hameed, David Eklund, Shahid Raza
2023 J jnl
The numerical algebraic geometry of bottlenecks.
Adv. Appl. Math.
David Eklund
2022 J jnl
Computing geometric feature sizes for algebraic manifolds.
CoRR
Sandra Di Rocco, Parker B. Edwards, David Eklund, Oliver Gäfvert, Jonathan D. Hauenstein
2022 J jnl
Identifying latent distances with Finslerian geometry.
CoRR
Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg
2022 J jnl
Sampling and homology via bottlenecks.
Math. Comput.
Sandra Di Rocco, David Eklund, Oliver Gäfvert
2021 Misc conf
Excess intersections and numerical irreducible decompositions.
SYNASC
Daniel J. Bates, David Eklund, Jonathan D. Hauenstein, Chris Peterson
2021 — conf
Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection.
WISEC
Han Wang, Luis Muñoz-González, David Eklund, Shahid Raza
2020 J jnl
The Bottleneck Degree of Algebraic Varieties.
SIAM J. Appl. Algebra Geom.
Sandra Di Rocco, David Eklund, Madeleine Weinstein
2020 A* conf
Variational Autoencoders with Riemannian Brownian Motion Priors.
ICML
Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg
2020 J jnl
Variational Autoencoders with Riemannian Brownian Motion Priors.
CoRR
Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg
2019 J jnl
Expected path length on random manifolds.
CoRR
David Eklund, Søren Hauberg
2018 J jnl
Numerical polar calculus and cohomology of line bundles.
Adv. Appl. Math.
Sandra Di Rocco, David Eklund, Chris Peterson
2014 J jnl
Perturbed homotopies for finding all isolated solutions of polynomial systems.
Appl. Math. Comput.
Daniel J. Bates, Brent R. Davis, David Eklund, Eric M. Hanson, Chris Peterson
2013 J jnl
Computing intersection numbers of Chern classes.
J. Symb. Comput.
Daniel J. Bates, David Eklund, Chris Peterson
2011 J jnl
Chern numbers of smooth varieties via homotopy continuation and intersection theory.
J. Symb. Comput.
Sandra Di Rocco, David Eklund, Chris Peterson, Andrew J. Sommese
2010 J jnl
Algebraic C
Appl. Math. Comput.
Sandra Di Rocco, David Eklund, Andrew J. Sommese, Charles W. Wampler