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- ...conditions. Recent advances in deep learning offer an alternative through models that can learn these mappings directly from... ...thesis explores the design, training, and evaluation of these architectures... ...or in combination—to develop intelligent, high-performance solutions...
- ...impossible because of the sheer volume. Federated learning (FL) provides a distributed, privacy-... ...multiple entities to collaboratively train a shared model without exchanging local... ...methods with robust aggregation techniques to develop models that are efficient, generalizable,...
- ...Science department at RISE. Background and purpose Machine learning (ML) has catalyzed the design and development of various... ...has gained attention, which means performing both inference and training on local devices. Local devices mostly refer to resource-constrained...
- ...(CBF) challenging. Project goal: Use distributed machine learning to predict coordinated beamforming weights locally at each BS,... ...practical distributed RAN with realistic traffic dynamics # Develop ML methods that run at each cluster and output beamforming weight...
- ...OHB Sweden is a Swedish provider of space systems and develops, builds, tests and operates satellites for space missions within communications, earth observation, space research and exploration. We deliver satellites and sub-systems for low-earth-orbit, geostationary...
- ...network systems. Our goal is to develop AI-native networks that are... ...resources Investigate deep learning algorithms for key functionalities... ...for data collection, model training and evaluations using e.g., PyTorch, JAX. Fast to learn. Problem-solving skills and...
- ...leading Swedish supplier of space systems. We develop, build, test and commission satellites and subsystems... ...B) and project implementation (Phases C/D/E) About You: We’re looking for a proactive team player who learns quickly, provides technical guidance to colleagues...
- ...leading Swedish supplier of space systems. We develop, build, test and commission satellites and... ...B) and project implementation (Phases C/D/E) Experience in observational campaigns... ...looking for a proactive team player who learns quickly, provides technical guidance to colleagues...
- ...we invite one or two students to develop methods for automatic defect detection... ...boards (PCBs) using machine learning and exciting dataset. The project... ...existing PCB image datasets. Train, refine and benchmark different AI models (e.g. CNNs, transformer-based networks...
- ...driving services requires machine learning models that are both accurate... ...this context, enabling model training across distributed vehicles... ...clients to collaboratively train a global model while keeping... ...Key Responsibilities Develop and implement efficient communication...