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Self-Organized Laboratories for Smart Campus
Related publications (32)
Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing
Conversational tutoring systems (CTSs) offer a promising avenue for individualized learning support, especially in domains like persuasive writing. Although these systems have the potential to enhance the learning process, the specific role of learner cont ...
2024Beyond Spectral Gap: The Role of the Topology in Decentralized Learning
Martin Jaggi, Thijs Vogels, Hadrien Hendrikx
In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers commu ...
Brookline2023Learning From Heterogeneous Data Based on Social Interactions Over Graphs
Ali H. Sayed, Stefan Vlaski, Virginia Bordignon
This work proposes a decentralized architecture, where individual agents aim at solving a classification problem while observing streaming features of different dimensions and arising from possibly different distributions. In the context of social learning ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing Systems
David Atienza Alonso, Miguel Peon Quiros
Multi-Scale computing systems aim at bringing the computing as close as possible to the data sources, to optimize both computation and networking. These systems are composed of at least three computing layers: the terminal layer, the edge layer, and the cl ...
ACM2023Bio-inspired Reflex System for Learning Visual Information for Resilient Robotic Manipulation
Josephine Anna Eleanor Hughes, Kai Christian Junge
Humans have an incredible sense of self-preservation that is both instilled, and also learned through experience. One system which contributes to this is the pain and reflex system which both minimizes damage through involuntary reflex ac- tions and also s ...
2022System Support for Robust Distributed Learning
Arsany Hany Abdelmessih Guirguis
Machine learning (ML) applications are ubiquitous. They run in different environments such as datacenters, the cloud, and even on edge devices. Despite where they run, distributing ML training seems the only way to attain scalable, high-quality learning. B ...
EPFL2022Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals
Paola Mejia Domenzain, Christian Giang, Mirko Marras
Learning journals are increasingly used in vocational education to foster self-regulated learning and reflective learning practices. However, for many apprentices, documenting working experiences is a difficult task. In this paper, we profile apprentices' ...
2022A review of CUDA optimization techniques and tools for structured grid computing
Recent advances in GPUs opened a new opportunity in harnessing their computing power for general purpose computing. CUDA, an extension to C programming, is developed for programming NVIDIA GPUs. However, efficiently programming GPUs using CUDA is very tedi ...
2020Biosensors for Bimolecular Computing: a Review and Future Perspectives
Sandro Carrara, Danilo Demarchi, Simone Aiassa
Biomolecular computing is the field of engineering where computation, storage, communication, and coding are obtained by exploiting interactions between biomolecules, especially DNA, RNA, and enzymes. They are a promising solution in a long-term vision, br ...
SPRINGER2020Robust Distributed Learning and Robust Learning Machines (Research Statement)
Whether it occurs in artificial or biological substrates, {\it learning} is a {distributed} phenomenon in at least two aspects. First, meaningful data and experiences are rarely found in one location, hence {\it learners} have a strong incentive to work to ...
2019