Results 61 to 70 of about 310,590 (164)

Decentralized federated learning using validation loss for model sharing in crop disease classification

Ecological Informatics
Agriculture plays an essential role in the economies of many countries, as it provides numerous livelihoods. However, managing crop diseases is one of the major challenges in modern agriculture.
Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, Raphaël Canals   +3 more
doaj   +1 more source

A new approach to the peer-learning: Artificial intelligence-assisted peer-learning [PDF]

Research and Development in Medical Education, 2023
Sajedeh Kermani, Saba Sabzehkar, Seyyedeh Kosar Amin Hoseini, AmirAli Moodi Ghalibaf   +3 more
doaj   +1 more source

Profiles of e-learners based on learning motivation: differences in peer-to-peer confirmation and mental health

Frontiers in Education
IntroductionPrevious research employing latent profile analysis has considerably advanced our understanding of student motivation in online learning environments.
Romualda Rimasiute-Knabikiene, Aiste Dirzyte, Aiste Dirzyte   +2 more
doaj   +1 more source

PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale

CoRR
This work integrates peer-to-peer federated learning tools with NS3, a widely used network simulator, to create a novel simulator designed to allow heterogeneous device experiments in federated learning. This cross-platform adaptability addresses a critical gap in existing simulation tools, enhancing the overall utility and user experience.
Alka Luqman, Shivanshu Shekhar, Anupam Chattopadhyay   +2 more
openaire   +2 more sources

Mediated peer (to peer) learning

, 2006
QC ...
openaire   +1 more source

Stubbornness-Aware Peer-to-Peer Bayesian Federated Learning Over Graphs

IEEE Transactions on Machine Learning in Communications and Networking
Edge devices such as sensors, vehicles, and industrial controllers often need to learn a shared predictive model without pooling raw data or relying on a central server, even when local data quality varies widely across devices.
Zengyan Tang, Dongyan Sui, Haoran Sun, Siyang Leng   +3 more
doaj   +1 more source

P4: Towards private, personalized, and Peer-to-Peer learning

CoRR
Personalized learning is a proposed approach to address the problem of data heterogeneity in collaborative machine learning. In a decentralized setting, the two main challenges of personalization are client clustering and data privacy. In this paper, we address these challenges by developing P4 (Personalized Private Peer-to-Peer) a method that ensures ...
Mohammad Mahdi Maheri, Sandra Deepthy Siby, Sina Abdollahi, Anastasia Borovykh, Hamed Haddadi 0001   +4 more
openaire   +2 more sources

Differences in Supervision on Peer Learning Wards: A Pilot Survey of the Supervisor’s Perspective

Advances in Medical Education and Practice
Anna Dyar,1 Peter Henriksson,1 Terese Stenfors,2 Hanna Lachmann,2 Anna Kiessling1 1Department of Clinical Sciences Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden; 2Department of Learning, Informatics, Management and Ethics, Karolinska ...
Dyar A, Henriksson P, Stenfors T, Lachmann H, Kiessling A   +4 more
doaj  

Report on peer to peer learning

Report on peer-to-peer learning ...
openaire   +1 more source