Salman Toor

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Anomaly Detection

Resource Scheduling

Storage Management

Reinforcement Learning

Top Venues

Publications

Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
Toward efficient resource utilization at edge nodes in federated learning. Prog. Artif. Intell. 13 (2) (2024)
Haoyuan Li, Salman Toor
Empowering Data Mesh with Federated Learning. CoRR (2024)
Tianru Zhang, Ankit Gupta, María Andreína Francisco Rodríguez, Ola Spjuth, Andreas Hellander, Salman Toor
Data management of scientific applications in a reinforcement learning-based hierarchical storage system. Expert Syst. Appl. 237 (Part B) (2024)
Zhenlu Sun, André M. H. Teixeira, Salman Toor
GNN-IDS: Graph Neural Network based Intrusion Detection System. ARES (2024)
Junjie Chu, Prashant Singh, Salman Toor
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. CoRR (2024)
Mays F. Al-Naday, Vlad Dobre, Martin Reed, Salman Toor, Bruno Volckaert, Filip De Turck
Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems. Ann. des Télécommunications 79 (3-4) (2024)
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
FedBot: Enhancing Privacy in Chatbots with Federated Learning. CoRR (2023)
Weilin Zhang, Salman Toor, Mays F. Al-Naday
Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems. CloudNet (2023)
Mays F. Al-Naday, Martin J. Reed, Vlad Dobre, Salman Toor, Bruno Volckaert, Filip De Turck
Service-based Federated Deep Reinforcement Learning for Anomaly Detection in Fog Ecosystems. ICIN (2023)
Junjie Chu, Prashant Singh, Salman Toor
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. CLOUD (2023)
Li Ju, Tianru Zhang, Salman Toor, Andreas Hellander
Accelerating Fair Federated Learning: Adaptive Federated Adam. CoRR (2023)
Tianru Zhang, Andreas Hellander, Salman Toor
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. ICDE (2023)
Tianru Zhang, Andreas Hellander, Salman Toor
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
Toward efficient resource utilization at edge nodes in federated learning. CoRR (2023)
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
FedQAS: Privacy-aware machine reading comprehension with federated learning. CoRR (2022)
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander
Scalable federated machine learning with FEDn. CCGRID (2022)
Tianru Zhang, Salman Toor, Andreas Hellander
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning. CoRR (2022)
Omar Javed, Prashant Singh, Giles Reger, Salman Toor
To test, or not to test: A proactive approach for deciding complete performance test initiation. CoRR (2022)
Omar Javed, Prashant Singh, Giles Reger, Salman Toor
To test, or not to test: A proactive approach for deciding complete performance test initiation. Big Data (2022)
Felix Morsbach, Salman Toor
DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain. BSCI (2021)
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander
Scalable federated machine learning with FEDn. CoRR (2021)
Li Ju, Prashant Singh, Salman Toor
Proactive Autoscaling for Edge Computing Systems with Kubernetes. CoRR (2021)
Li Ju, Prashant Singh, Salman Toor
Proactive autoscaling for edge computing systems with kubernetes. UCC Companion (2021)
Omar Javed, Salman Toor
An Evaluation of Container Security Vulnerability Detection Tools. ICCBDC (2021)
Omar Javed, Salman Toor
Understanding the Quality of Container Security Vulnerability Detection Tools. CoRR (2021)
Prashant Singh, Mona Mohamed Elamin, Salman Toor
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets. CoRR (2020)
Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. CoRR (2020)
Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. IEEE BigData (2020)
Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top-K Workloads. CoRR (2019)
Ben Blamey, Ida-Maria Sintorn, Andreas Hellander, Salman Toor
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy. CoRR (2019)
Ben Blamey, Andreas Hellander, Salman Toor
Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing. Bench (2019)
Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi, Jianliang Gao, Salman Toor, Ola Spjuth
On-demand virtual research environments using microservices. PeerJ Comput. Sci. 5 (2019)
Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. CCGRID (2019)
Lirim Osmani, Salman Toor, Miika Komu, Matti J. Kortelainen, Tomas Lindén, John White, Rasib Hassan Khan, Paula Eerola, Sasu Tarkoma
Secure Cloud Connectivity for Scientific Applications. IEEE Trans. Serv. Comput. 11 (4) (2018)