Essays about: "distributed robust learning"

Showing result 1 - 5 of 15 essays containing the words distributed robust learning.

1. 1. Robust Neural Receiver in Wireless Communication : Defense against Adversarial Attacks

   University essay from Linköpings universitet/Kommunikationssystem

   Author : Alice Nicklasson Cedbro; [2023]
   Keywords : Wireless communication; Neural receiver; Robust neural receiver; Adversarial machine learning; Fast Gradient Sign Method; Adversarial training;

   Abstract : In the field of wireless communication systems, the interest in machine learning has increased in recent years. Adversarial machine learning includes attack and defense methods on machine learning components. READ MORE

3. 2. Are Distributed Representations in Neural Networks More Robust Against Malicious Fooling Attacks

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Nida Sardar; Sundas Khan; [2023]
   Keywords : Adversarial attacks; Information Smearedness; Artificial Neural Networks; Information Relay; Dropout; Fast Gradient Sign Method;

   Abstract : A plethora of data from sources like IoT, social websites, health, business, and many more have revolutionized the digital world in recent years. To make effective use of data for any sort of analysis, prediction, or automation of applications, the demand for machine learning and artificial intelligence has grown over time. READ MORE

4. 3. Evaluating clustering techniques in financial time series

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Johan Millberg; [2023]
   Keywords : clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

   Abstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE

5. 4. Machine Learning-based MIMO Indoor Positioning

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Qiyi Chen; [2023]
   Keywords : Technology and Engineering;

   Abstract : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. READ MORE

6. 5. LDPC DropConnect

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Xi Chen; [2023]
   Keywords : Bayesian approach; Machine learning; Coding theory; Measurement uncertainty; Algorithms; Bayesiansk metod; Maskininlärning; Kodningsteori; Mätosäkerhet; Algoritmer;

   Abstract : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. READ MORE