Results 231 to 240 of about 392,453 (267)

Distributed learning environments

Computer, 2004
Distributed learning is an instructional model that gives students access to a wide range of resources-teachers, peers, and content such as readings and exercises - independently of place and time. The popularity of distributed learning environments (DLEs) in both professional and academic settings has steadily increased due to 1) the rising demand ...
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Opinion dynamics and distributed learning of distributions

2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011
A protocol for distributed estimation of discrete distributions is proposed. Each agent begins with a single sample from the distribution, and the goal is to learn the empirical distribution of the samples. The protocol is based on a simple message-passing model motivated by communication in social networks.
Anand D. Sarwate, Tara Javidi
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The ethnography of distributed collaborative learning

Proceedings of the Conference on Computer Support for Collaborative Learning Foundations for a CSCL Community - CSCL '02, 2002
A major challenge for today's researchers studying 'online' learning is how to design their studies. The ostensibly simple question of what and how to collect and analyse data becomes a major obstacle. Recent theoretical developments emphasise that learning, communication and knowledge construction are embedded and distributed in the social and ...
Frode Guribye, Barbara Wasson
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Learning with Additional Distributions

2016
This paper studies the problem of learning with distributions. In this work, we do not focus on the distribution that represents each data point. Instead, we consider the distribution that is an additional information around each data point. The proposed method yields a new kernel that is similar to an existing one.
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Distributed learning and cooperative learning

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan), 2005
The concept of modularization and coupling connectionist network modules is a promising way of building large-scale neural networks and improving the learning performance of these networks. On the other hand, the modularization scheme would be of little use if there does not exist such an appropriate learning procedure to train high-level modules ...
Y. Tsukamoto, A. Namatame
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A Survey on Distributed Machine Learning

ACM Computing Surveys, 2021
Jonathan Katzy, Tim Verbelen, Jan S Rellermeyer   +2 more
exaly  

Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

IEEE Communications Surveys and Tutorials, 2021
Shuyan Hu, Xiaojing Chen, Wei Ni
exaly  

Distributed Learning for Wireless Communications: Methods, Applications and Challenges

IEEE Journal on Selected Topics in Signal Processing, 2022
Liangxin Qian, Ming Xiao, Octavia A Dobre   +2 more
exaly  

Communication-Efficient Distributed Learning: An Overview

IEEE Journal on Selected Areas in Communications, 2023
Xuanyu Cao, Tamer Basar
exaly  

Privacy preserving distributed machine learning with federated learning

Computer Communications, 2021
M A P Chamikara, Ibrahim Khalil, Seyit Çamtepe   +2 more
exaly