Sökning: "Personalized Federated Learning"

Hittade 2 uppsatser innehållade orden Personalized Federated Learning.

1. 1. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Rémi Bourgerie; [2023]
   Nyckelord :5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

   Sammanfattning : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. LÄS MER

3. 2. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuan Cheng; [2022]
   Nyckelord :Personalized Federated Learning; Millimeter wave; Beamforming; DeepMIMO; Non-IID; Personaliserad Federad Inlärning; Millimetervågor; Strålformning; DeepMIMO; Icke-IID;

   Sammanfattning : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. LÄS MER