Sökning: "federated"

Visar resultat 1 - 5 av 38 avhandlingar innehållade ordet federated.

1. 1. Robust and Efficient Federated Learning for IoT Security

   Författare :Han Wang; Shahid Raza; György Dán; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Federated Learning; Machine Learning; Intrusion Detection System; Communication Efficiency; Robustness; Adversarial AI; Device Fingerprinting; Device Identification; Cyber Threat Intelligence; Computer Science with specialization in Computer Communication; Datavetenskap med inriktning mot datorkommunikation;

   Sammanfattning : The widespread adoption of Internet of Things (IoT) devices has led to substantial progress across various industrial sectors, including healthcare, transportation, and manufacturing. However, these devices also introduce significant security vulnerabilities because they are often deployed without adequate security measures, making them susceptible to cyber threats. LÄS MER

3. 2. Data-driven Innovation : An exploration of outcomes and processes within federated networks

   Författare :Aya Rizk; Anna Ståhlbröst; Ahmed Elragal; Birgitta Bergvall-Kåreborn; Oliver Müller; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data-driven innovation; analytics; innovation process; federated networks; data science; taxonomy; Information systems; Informationssystem;

   Sammanfattning : The emergence and pervasiveness of digital technologies are changing many aspects of our lives, including what and how we innovate. Industries and societies are competing to embrace this wave of digitalization by developing the right infrastructures and ecosystems for innovation. LÄS MER

4. 3. Resource-Aware and Personalized Federated Learning via Clustering Analysis

   Författare :Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio; György Dán; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Federated Learning; Clustering Analysis; Eccentricity Analysis; Non- IID Data; Model Personalization; Computer Science; Datavetenskap;

   Sammanfattning : Today’s advancement in Artificial Intelligence (AI) enables training Machine Learning (ML) models on the daily-produced data by connected edge devices. To make the most of the data stored on the device, conventional ML approaches require gathering all individual data sets and transferring them to a central location to train a common model. LÄS MER

5. 4. Scheduling techniques to improve the worst-case execution time of real-time parallel applications on heterogeneous platforms

   Författare :Petros Voudouris; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; parallel applications; global; work-conserving; federated; heterogeneous multiprocessors; response time; Hard real-time systems; unrelated model; DAG; makespan;

   Sammanfattning : The key to providing high performance and energy-efficient execution for hard real-time applications is the time predictable and efficient usage of heterogeneous multiprocessors. However, schedulability analysis of parallel applications executed on unrelated heterogeneous multiprocessors is challenging and has not been investigated adequately by earlier works. LÄS MER

7. 5. Enabling Technologies for Management of Distributed Computing Infrastructures

   Författare :Daniel Espling; Erik Elmroth; Rizos Sakellariou; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; grid computing; cloud computing; accounting; billing; contextualization; monitoring; structure; fairshare; scheduling; federated; Computer Science; datalogi;

   Sammanfattning : Computing infrastructures offer remote access to computing power that can be employed, e.g., to solve complex mathematical problems or to host computational services that need to be online and accessible at all times. LÄS MER