• Function Placement and Acceleration for In|Network Federated ...🔍
• Function placement for In|network Federated Learning🔍
• Function Placement for In|network Federated Learning🔍
• A Distributed NWDAF Architecture for Federated Learning in 5G🔍
• Federated Reinforcement Learning🔍
• Federated learning for network attack detection using attention ...🔍
• Federated Network🔍
• A Federated Learning|Based Resource Allocation Scheme for ...🔍

Function Placement and Acceleration for In-Network Federated ...

We model the placement problem as a MILP and we propose a variant of the problem. Simulation results show the impact that hardware acceleration can have in the ...

Function Placement and Acceleration for In-Network Federated ...

In this paper, we address the placement of Artificial Intelligence Functions (AIF) making use of federated learning and hardware acceleration.

Function placement for In-network Federated Learning - ScienceDirect

Federated learning (FL), particularly when data is distributed across multiple clients, helps reducing the learning time by avoiding ...

Function Placement and Acceleration for In-Network Federated ...

Abstract. Edge intelligence combined with federated learning is considered as a way to distributed learning and inference tasks in a scalable ...

Function Placement and Acceleration for In-Network Federated ...

Function Placement and Acceleration for In-Network Federated Learning Services. Nour-El-Houda Yellas 1. ,. Bernardetta Addis 2. ,. Roberto Riggio 3. ,. Stefano ...

Function Placement for In-network Federated Learning - HAL

Federated learning (FL), particularly when data is distributed across multiple clients, helps reducing the learning time by avoiding training on a massive ...

A Distributed NWDAF Architecture for Federated Learning in 5G

Function Placement and Acceleration for In-Network Federated Learning Services. Conference Paper. Full-text available. Oct 2022. Nour el ...

Federated Reinforcement Learning: Techniques, Applications, and ...

In communication network services, Network Function Virtualization (NFV) ... Han, “Federated reinforcement learning acceleration method for precise control.

Federated learning for network attack detection using attention ...

Therefore, federated learning (FL) plays a key role in the development of next-generation intrusion detection systems (IDS). This approach ...

Federated Network - an overview | ScienceDirect Topics

A federated network is defined as a system that consists of software components and protocols managing the identity of individuals across different domains.

CNSM 2022 - 18th International Conference on Network and ...

Function Placement and Acceleration for In-Network Federated Learning Services, Nour El Houda Yellas (Cnam, France); Bernardetta Addis (LORIA & Université de ...

A Federated Learning-Based Resource Allocation Scheme for ...

However, the rapid evolution of networking technologies [6] (such as distributed computation, cloud computing, network function virtualization, network slicing, ...

Accelerating Federated Learning at Programmable User Plane ...

Accelerating Federated Learning at Programmable. User Plane Function via In-Network Aggregation. Chanbin Bae∗, Hochan Lee∗, Sangheon Pack∗, and Youngmin Ji ...

[PDF] Anomaly Detection for 5G Softwarized Infrastructures with ...

Function Placement and Acceleration for In-Network Federated Learning Services · Nour-El-Houda YellasB. AddisR. RiggioStefano Secci. Computer Science ...

youngfish42/Awesome-FL - GitHub

Towards Federated Bayesian Network Structure Learning with Continuous Optimization. ... Acceleration of Federated Learning with Alleviated Forgetting in ...

Hierarchical Federated Learning with Momentum Acceleration in ...

local/edge network, so that the communication cost is much ... significant role to accelerate the convergence. We also compare the ...

Towards a High-performance Hardware Acceleration Architecture ...

HAFLO: gpu-based acceleration for federated logistic regression. ... POSEIDON: privacy-preserving federated neural network learning. In ...

Optimized Multi-Service Tasks Offloading for Federated Learning in ...

The architecture adoption, agent controller, and orchestrator allow the centralized view for virtual network functions placement with efficient virtual machine ...

IEEE Transactions on Mobile Computing - Table of Contents

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network for non-IID Data pp. ... DeepSelector: A Deep Learning-Based Virtual Network Function Placement ...

Acceleration of Federated Learning with Alleviated Forgetting in...

... function concerning the previous training data provided at other ... network architecture is deep and the clients' data are extremely ...