Sökning: "Over-the-air computation"

Hittade 5 uppsatser innehållade orden Over-the-air computation.

1. 1. Over-the-Air Federated Learning with Compressed Sensing

   Master-uppsats, Linköpings universitet/Kommunikationssystem

   Författare :Adrian Edin; [2023]
   Nyckelord :machine learning; ML; Federated Learning; FL; Over-the-air; Over-the-air computation; OtA; OtA computation; AirComp; Compressed sensing; CS; Iterative Hard thresholding; IHT;

   Sammanfattning : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). LÄS MER

3. 2. Function Computation via Over-the-Air Computation: Practical System Design

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Yuzhi Chen; [2023]
   Nyckelord :;

   Sammanfattning : Future wireless networks will need to contain millions of nodes, machines, and devices and provide high-speed and low-latency communication services. The traditional wireless network architecture design separates the communication and computation process, which has low utilization of wireless resources. LÄS MER

4. 3. Fault-Tolerant Over-the-Air Federated Learning with Clustered Aggregation : Using a hierarchical architecture with hybrid digital and analog communication, to deal with byzantine users in Federated Learning over wireless networks.

   Master-uppsats, Linköpings universitet/Kommunikationssystem

   Författare :David Nordlund; [2023]
   Nyckelord :federated learning; aircomp;

   Sammanfattning : Rapid advancements in modern AI applications have placed unprecedented demands on large-scale connectivity and data aggregation. The vision of Internet-of-Things (IoT) is supported by a massive amount of distributed sensors and wireless devices that generate useful data for these applications. LÄS MER

5. 4. Simulating Broadband Analog Aggregation for Federated Learning

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

   Författare :Linus Pekkanen; Patrik Johansson; [2020]
   Nyckelord :Federated learning; over-the-air computation; broadband analog aggregation;

   Sammanfattning : With increasing amounts of data coming fromconnecting progressively more devices, new machine learningmodels have risen. For wireless networks the idea of using adistributed approach to machine learning has gained increasingpopularity, where all nodes in the network participate in creatinga global machine learning model by training with the localdata stored at each node, an example of this approach is calledfederated learning. LÄS MER

7. 5. GSM-Security: A Survey and Evaluation of the Current Situation

   Uppsats för yrkesexamina på grundnivå, Institutionen för systemteknik

   Författare :Paul Yousef; [2004]
   Nyckelord :Datorteknik; GSM; security; attacks; cryptanalysis; protocols; flaws resources; Datorteknik;

   Sammanfattning : The Global System for Mobile Communications (GSM) is the most widely used cellular technology in the world. Approximately 800 million people around the world are using GSM for different purposes, but mostly for voice communication and SMS. For GSM, like many other widely used systems, security is crucial. LÄS MER