Jun
2023
20
Search Results
TAG: machine learning
Jun
2023
14
Orchestration Procedures for the Network Intelligence Stratum in 6G Networks – IMDEA
6G networks are expected to achieve full autonomous operation through the adoption of intelligent algorithms. This calls for
the introduction of an additional stratum in the network devoted to the management and orchestration of network intelligence. This paper outlines such a layer, its composition and function.
May
2023
9
Evolved Prevention Strategies for 6G Networks through Stochastic Games and Reinforcement Learning
Herein, a method to find security strategies for intrusion prevention in SDP network is presented based on modeling the interaction between an attacker and an SDP Controller as a stochastic game. These security strategies evolve through reinforcement learning and can emerge from self-play.
Mar
2023
23
Nov
2022
28
Attacks to Smart Cars Could Cut ML Accuracy by 22%, Experiment Shows
A recent experiment has indicated that attacks on federated learning can reduce the machine learning model’s accuracy by 22%
Nov
2022
24
Nov
2022
14
A “Physical Layer Machine Learning Applications Want To See”?
Rob Calderbank of Duke University is one of those unusual academics to have spent a long time in commercial telecoms environments. Today, while he is leading Duke’s interdisciplinary work on big data, he has also recently published work on something he calls pulsones, which may contribute to a more efficient future air interface. 6GWorld caught up with him to find out more about this, and why a big data professor is worrying about radio.
Nov
2022
14
Apr
2022
22
Mar
2022
1