4 papers
Deep Learning based Moving Target Defence for Federated Learning against Poisoning Attack in MEC Systems with a 6G Wireless Model
Somayeh Kianpisheh, Tarik Taleb, Jari Iinatti +1
Collaboration opportunities for devices are facilitated with Federated Learning (FL). Edge computing facilitates aggregation at edge and reduces latency. To deal with model poisoni…
Deep Learning Based Service Composition in Integrated Aerial-Terrestrial Networks
Mohammad Farhoudi, Masoud Shokrnezhad, Somayeh Kianpisheh +1
The explosive growth of user devices and emerging applications is driving unprecedented traffic demands, accompanied by stringent Quality of Service (QoS) requirements. Addressing…
Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems
Somayeh Kianpisheh, Chafika Benzaid, Tarik Taleb
Federated Learning (FL) enables training of a global model from distributed data, while preserving data privacy. However, the singular-model based operation of FL is open with uplo…
External Memories of PDP Switches for In-Network Implementable Functions Placement: Deep Learning Based Reconfiguration of SFCs
Somayeh Kianpisheh, Tarik Taleb
Network function virtualization leverages programmable data plane switches to deploy in-network implementable functions, to improve QoS. The memories of switches can be extended th…