Daniel Gillblad

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 16

Top Venues

CoRR

IEEE BigData

Int. J. Netw. Manag.

Royal Institute of Technology, Stockholm, Sweden (PHD)

Education History

Royal Institute of Technology, Stockholm, Sweden

PHD

Publications

Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
Efficient Node Selection in Private Personalized Decentralized Learning. NLDL (2024)
Meenu Mary John, Daniel Gillblad, Helena Holmström Olsson, Jan Bosch
Advancing MLOps from Ad hoc to Kaizen. SEAA (2023)
Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
Private Node Selection in Personalized Decentralized Learning. CoRR (2023)
Meenu Mary John, Helena Holmström Olsson, Jan Bosch, Daniel Gillblad
Exploring Trade-Offs in MLOps Adoption. APSEC (2023)
Johan Östman, Ather Gattami, Daniel Gillblad
Decentralized Online Bandit Optimization on Directed Graphs with Regret Bounds. CoRR (2023)
Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas
Adaptive Expert Models for Personalization in Federated Learning. CoRR (2022)
Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas
Adaptive Expert Models for Federated Learning. FL@IJCAI (2022)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData (2021)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. CoRR (2020)
Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
Federated learning using a mixture of experts. CoRR (2020)
Magnus Boman, Fehmi Ben Abdesslem, Erik Forsell, Daniel Gillblad, Olof Görnerup, Nils Isacsson, Magnus Sahlgren, Viktor Kaldo
Learning machines in Internet-delivered psychological treatment. Prog. Artif. Intell. 8 (4) (2019)
Olof Görnerup, Daniel Gillblad
Streaming word similarity mining on the cheap. EMNLP (2018)
Magnus Boman, Magnus Sahlgren, Olof Görnerup, Daniel Gillblad
Learning Machines. AAAI Spring Symposia (2018)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
A service-agnostic method for predicting service metrics in real time. Int. J. Netw. Manag. 28 (2) (2018)
Per Kreuger, Rebecca Steinert, Olof Görnerup, Daniel Gillblad
Distributed dynamic load balancing with applications in radio access networks. Int. J. Netw. Manag. 28 (2) (2018)
Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis
Domain-agnostic discovery of similarities and concepts at scale. Knowl. Inf. Syst. 51 (2) (2017)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
Predicting service metrics for cluster-based services using real-time analytics. CNSM (2015)
Nima Dokoohaki, Filippia Zikou, Daniel Gillblad, Mihhail Matskin
Predicting Swedish Elections with Twitter: A Case for Stochastic Link Structure Analysis. ASONAM (2015)
Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis
Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery. ICDM (2015)
Per Kreuger, Olof Görnerup, Daniel Gillblad, Tomas Lundborg, Diarmuid Corcoran, Andreas Ermedahl
Autonomous Load Balancing of Heterogeneous Networks. VTC Spring (2015)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
A platform for predicting real-time service-level metrics from device statistics. IM (2015)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
Predicting real-time service-level metrics from device statistics. IM (2015)
Andrea Hess, Ian Marsh, Daniel Gillblad
Exploring communication and mobility behavior of 3G network users and its temporal consistency. ICC (2015)
Tomas Olsson, Daniel Gillblad, Peter Funk, Ning Xiong
Explaining Probabilistic Fault Diagnosis and Classification Using Case-Based Reasoning. ICCBR (2014)
Magnus Boman, Daniel Gillblad
Learning machines for computational epidemiology. IEEE BigData (2014)
Olof Görnerup, Per Kreuger, Daniel Gillblad
Autonomous accident monitoring using cellular network data. ISCRAM (2013)
Per Kreuger, Daniel Gillblad, Åke Arvidsson
: a zero configuration adaptive paging and mobility management mechanism. Int. J. Netw. Manag. 23 (4) (2013)
Rebecca Steinert, Daniel Gillblad
Performance evaluation of a distributed and probabilistic network monitoring approach. CNSM (2012)
Per Kreuger, Daniel Gillblad, Åke Arvidsson
Zero Configuration Adaptive Paging (zCap). VTC Fall (2012)
Rebecca Steinert, S. Gestrelius, Daniel Gillblad
A Distributed Spatio-Temporal Event Correlation Protocol for Multi-Layer Virtual Networks. GLOBECOM (2011)
Björn Bjurling, Rebecca Steinert, Daniel Gillblad
Translation of probabilistic QoS in hierarchical and decentralized settings. APNOMS (2011)
Alberto Gonzalez Prieto, Daniel Gillblad, Rebecca Steinert, Avi Miron
Toward decentralized probabilistic management. IEEE Commun. Mag. 49 (7) (2011)
Rebecca Steinert, Daniel Gillblad
Towards Distributed and Adaptive Detection and Localisation of Network Faults. AICT (2010)
Rebecca Steinert, Daniel Gillblad
Long-Term Adaptation and Distributed Detection of Local Network Changes. GLOBECOM (2010)
Diogo R. Ferreira, Daniel Gillblad
Discovering Process Models from Unlabelled Event Logs. BPM (2009)
Daniel Gillblad, Rebecca Steinert, Diogo R. Ferreira
Estimating the Parameters of Randomly Interleaved Markov Models. ICDM Workshops (2009)
Daniel Gillblad, Anders Holst, Björn Levin
Emulating Process Simulators with Learning Systems. ICANN (2) (2005)
Daniel Gillblad, Anders Holst
Dependency Derivation in Industrial Process Data. ICDM (2001)

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Publication Activity (10 Years)

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Daniel Gillblad