Erik Elmroth

Erik Elmroth

Umeå universitet

H-index: 47

Europe-Sweden

About Erik Elmroth

Erik Elmroth, With an exceptional h-index of 47 and a recent h-index of 25 (since 2020), a distinguished researcher at Umeå universitet, specializes in the field of Cloud control, Cloud management, Autonomic computing, Cloud computing, Distributed computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cost-Efficient Feature Selection for Horizontal Federated Learning

A Systematic Approach to Robustness Modelling for Deep Convolutional Neural Networks

RAVEN: adaptive edge resource allocation with spatio-temporal multiplexing for live video pipelines

Robust procedural learning for anomaly detection and observability in 5G RAN

COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum

Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems

Bottleneck identification and failure prevention with procedural learning in 5G RAN

MadFed: Enhancing Federated Learning with Marginal-data Model Fusion.

Erik Elmroth Information

University

Position

Professor & Head of Department of Computing Science ; and Co-Founder Elastisys AB

Citations(all)

8822

Citations(since 2020)

2747

Cited By

7156

hIndex(all)

47

hIndex(since 2020)

25

i10Index(all)

136

i10Index(since 2020)

83

Email

University Profile Page

Umeå universitet

Google Scholar

View Google Scholar Profile

Erik Elmroth Skills & Research Interests

Cloud control

Cloud management

Autonomic computing

Cloud computing

Distributed computing

Top articles of Erik Elmroth

Title

Journal

Author(s)

Publication Date

Cost-Efficient Feature Selection for Horizontal Federated Learning

Authorea Preprints

Sourasekhar Banerjee

Devvjiit Bhuyan

Erik Elmroth

Monowar Bhuyan

2024/2/14

A Systematic Approach to Robustness Modelling for Deep Convolutional Neural Networks

arXiv preprint arXiv:2401.13751

Charles Meyers

Mohammad Reza Saleh Sedghpour

Tommy Löfstedt

Erik Elmroth

2024/1/24

RAVEN: adaptive edge resource allocation with spatio-temporal multiplexing for live video pipelines

Ali Rahmanian

Ahmed Ali-Eldin

Prashant Shenoy

Selome Kostentinos Tesfatsion

Björn Skubic

...

2024

Robust procedural learning for anomaly detection and observability in 5G RAN

IEEE Transactions on Network and Service Management

Tobias Sundqvist

Monowar Bhuyan

Erik Elmroth

2023/10/2

COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum

Paul Townend

Alberto P Martí

Idoia De La Iglesia

Nikolaos Matskanis

Thomas Ohlson Timoudas

...

2023/7/2

Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems

Artificial Intelligence Review

Charles Meyers

Tommy Löfstedt

Erik Elmroth

2023/10

Bottleneck identification and failure prevention with procedural learning in 5G RAN

Tobias Sundqvist

Monowar Bhuyan

Erik Elmroth

2023/5/1

MadFed: Enhancing Federated Learning with Marginal-data Model Fusion.

IEEE Access

Eunil Seo

Erik Elmroth

2023/9/14

Intent-driven orchestration: Enforcing service level objectives for cloud native deployments

SN Computer Science

Thijs Metsch

Magdalena Viktorsson

Adrian Hoban

Monica Vitali

Ravi Iyer

...

2023/3/17

The Impact of Directed Pod Eviction on Kubernetes Resource Utilization

Oliver Larsson

Cristian Klein

Erik Elmroth

2023/7/17

RAVAS: Interference-Aware Model Selection and Resource Allocation for Live Edge Video Analytics

Ali Rahmanian

Ahmed Ali-Eldin

Selome Kostentinos Tesfatsion

Björn Skubic

Harald Gustafsson

...

2023/12/6

Accelerating convergence in wireless federated learning by sharing marginal data

Eunil Seo

Vinh Pham

Erik Elmroth

2023/1/11

Anomaly Detection and Resolution on the Edge: Solutions and Future Directions

Javad Forough

Monowar Bhuyan

Erik Elmroth

2023/7/17

Automated Hyperparameter Tuning for Adaptive Cloud Workload Prediction

Lidia Kidane

Paul Townend

Thijs Metsch

Erik Elmroth

2023/12/4

Hydragen: A microservice benchmark generator

Mohammad Reza Saleh Sedghpour

Aleksandra Obeso Duque

Xuejun Cai

Björn Skubic

Erik Elmroth

...

2023/7/2

When and how to retrain machine learning-based cloud management systems

Lidia Kidane

Paul Townend

Thijs Metsch

Erik Elmroth

2022/5/30

Semi-supervised range-based anomaly detection for cloud systems

IEEE Transactions on Network and Service Management

Pratyush Kr Deka

Yash Verma

Adil Bin Bhutto

Erik Elmroth

Monowar Bhuyan

2022/11/30

Deep reinforcement learning for resource management in blockchain-enabled federated learning network

IEEE Networking Letters

Nguyen Quang Hieu

The Anh Tran

Cong Luong Nguyen

Dusit Niyato

Dong In Kim

...

2022/5/10

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds

IEEE Access

Adil Bin Bhutto

Xuan Son Vu

Erik Elmroth

Wee Peng Tay

Monowar Bhuyan

2022/9/6

Special issue on co-design of data and computation management in Fog Computing

Future Generation Computer Systems

Monica Vitali

Pierluigi Plebani

David Bermbach

Erik Elmroth

2022/4

See List of Professors in Erik Elmroth University(Umeå universitet)

Co-Authors

H-index: 41
Ignacio M. Llorente

Ignacio M. Llorente

Universidad Complutense de Madrid

H-index: 38
Ruben S. Montero

Ruben S. Montero

Universidad Complutense de Madrid

H-index: 35
Johan Tordsson

Johan Tordsson

Umeå universitet

H-index: 35
Alex Galis

Alex Galis

University College London

H-index: 34
Bo Kågström

Bo Kågström

Umeå universitet

H-index: 28
Maria Kihl

Maria Kihl

Lunds Universitet

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