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Efficient anomaly detection for edge clouds: mitigating data and resource constraints

Forough, Javad; Haddadi, Hamed; Bhuyan, Monowar H.; et al.

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

IEEE Transactions on Network and Service Management, IEEE 2024, Vol. 21, (2) : 1432-1445

Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik

State-aware application placement in mobile edge clouds

Proceedings of the 14th international conference on cloud computing and services science, Portugal: Science and Technology Publications 2024 : 117-128

Nguyen, Chanh Le Tan; Klein, Cristian; Elmroth, Erik

Massively parallel evasion attacks and the pitfalls of adversarial retraining

EAI Endorsed Transactions on Internet of Things, Gent EAI 2024, Vol. 10

Meyers, Charles; Löfstedt, Tommy; Elmroth, Erik

Cost-efficient feature selection for horizontal federated learning

IEEE Transactions on Artificial Intelligence

Banerjee, Sourasekhar; Bhuyan, Devvjiit; Elmroth, Erik; et al.

Flora: flow table low-rate overflow reconnaissance and detection in SDN

IEEE Transactions on Network and Service Management

Mudgal, Ankur; Verma, Abhishek; Singh, Munesh; et al.

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

SN Computer Science, Springer Nature 2023, Vol. 4, (3)

Metsch, Thijs; Viktorsson, Magdalena; Hoban, Adrian; et al.

Accelerating convergence in wireless federated learning by sharing marginal data

2023 International Conference on Information Networking (ICOIN), IEEE 2023 : 122-127

Seo, Eunil; Pham, Vinh; Elmroth, Erik

MadFed: enhancing federated learning with marginal-data model fusion

IEEE Access, IEEE 2023, Vol. 11 : 102669-102680

Seo, Eunil; Elmroth, Erik

Hydragen: a microservice benchmark generator

2023 IEEE 16th international conference on cloud computing (CLOUD), IEEE 2023 : 189-200

Saleh Sedghpour, Mohammad Reza; Obeso Duque, Aleksandra; Cai, Xuejun; et al.

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Senast uppdaterad: 2019-11-26