Federated service chaining: Architecture and challenges
… in the edge and IoT environments should be as distributed as possible. … environments,
achieving effective and efficient SCs over heterogeneous networks in a federation environment …
achieving effective and efficient SCs over heterogeneous networks in a federation environment …
Survey on federated-learning approaches in distributed environment
… This is a significant feature in the heterogeneity factor in the data distribution environment
of different users. In this paper, the personal variant in FL is presented. The objective of the …
of different users. In this paper, the personal variant in FL is presented. The objective of the …
Blockchained service provisioning and malicious node detection via federated learning in scalable Internet of Sensor Things networks
… and other nodes in IoT networks are either centralized or distributed. The centralized attack
… It is because the nodes in our model are used for environmental monitoring. So, real time …
… It is because the nodes in our model are used for environmental monitoring. So, real time …
Sharing distributed and heterogeneous resources toward end-to-end 5G networks: A comprehensive survey and a taxonomy
N Slamnik-Kriještorac, H Kremo… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
… to the mobile Internet over heterogeneous networks with high… enable future dynamic network
environments. The importance of … provided by the US Federal Communication Commission (…
environments. The importance of … provided by the US Federal Communication Commission (…
Heterogeneous federated learning: State-of-the-art and research challenges
… Considering that the data distribution may differ across clients, we discuss statistical …
adjust federated communication in heterogeneous network environments is worth studying. …
adjust federated communication in heterogeneous network environments is worth studying. …
Decentralized federated learning: A survey and perspective
… distributed computing framework capable of spanning space-air-ground, end-edge-cloud,
and multi-data center environments, … This structure helps capture the heterogeneity among …
and multi-data center environments, … This structure helps capture the heterogeneity among …
Coordination algorithm for migration of shared VNFs in federated environments
JC Cisneros, S Yangui, SEP Hernandez… - … on Network …, 2020 - ieeexplore.ieee.org
… trigger the degradation of a whole service chain where this VNF is … Data comes from
heterogeneous devices thus the VNFs … and orchestration of network services in distributed and …
heterogeneous devices thus the VNFs … and orchestration of network services in distributed and …
Heterogeneous federated learning via grouped sequential-to-parallel training
… for non-iid FL environment and is constructed by … class distribution, with an average of \(n=226\)
samples per client. For the resource-limited mobile devices, a lightweight neural network …
samples per client. For the resource-limited mobile devices, a lightweight neural network …
Optimized multi-service tasks offloading for federated learning in edge virtualization
… from heterogeneous Internet of Things (… environment. To allocate the resources and
recommend optimal NFVeEC nodes for efficient edge updates among various critical model services…
recommend optimal NFVeEC nodes for efficient edge updates among various critical model services…
Dynamic SFC embedding algorithm assisted by federated learning in space–air–ground-integrated network resource allocation scenario
… scale complex network environments. This paper proposes a … Federated Learning (FL)
is a distributed machine learning … 1) We address the allocation of heterogeneous network …
is a distributed machine learning … 1) We address the allocation of heterogeneous network …