Christopher G. Brinton
Cited by
Cited by
Learning about social learning in MOOCs: From statistical analysis to generative model
CG Brinton, M Chiang, S Jain, H Lam, Z Liu, FMF Wong
IEEE transactions on Learning Technologies 7 (4), 346-359, 2014
MOOC performance prediction via clickstream data and social learning networks
CG Brinton, M Chiang
2015 IEEE conference on computer communications (INFOCOM), 2299-2307, 2015
Behavior-based grade prediction for MOOCs via time series neural networks
TY Yang, CG Brinton, C Joe-Wong, M Chiang
IEEE Journal of Selected Topics in Signal Processing 11 (5), 716-728, 2017
Mining MOOC clickstreams: Video-watching behavior vs. in-video quiz performance
CG Brinton, S Buccapatnam, M Chiang, HV Poor
IEEE Transactions on Signal Processing 64 (14), 3677-3692, 2016
Fast-convergent federated learning
HT Nguyen, V Sehwag, S Hosseinalipour, CG Brinton, M Chiang, ...
IEEE Journal on Selected Areas in Communications 39 (1), 201-218, 2020
From federated to fog learning: Distributed machine learning over heterogeneous wireless networks
S Hosseinalipour, CG Brinton, V Aggarwal, H Dai, M Chiang
IEEE Communications Magazine 58 (12), 41-47, 2020
Individualization for education at scale: MIIC design and preliminary evaluation
CG Brinton, R Rill, S Ha, M Chiang, R Smith, W Ju
IEEE Transactions on Learning Technologies 8 (1), 136-148, 2014
Network-aware optimization of distributed learning for fog computing
S Wang, Y Ruan, Y Tu, S Wagle, CG Brinton, C Joe-Wong
IEEE/ACM Transactions on Networking 29 (5), 2019-2032, 2021
On the viability of a cloud virtual service provider
L Zheng, C Joe-Wong, CG Brinton, CW Tan, S Ha, M Chiang
ACM SIGMETRICS Performance Evaluation Review 44 (1), 235-248, 2016
Multi-stage hybrid federated learning over large-scale D2D-enabled fog networks
S Hosseinalipour, SS Azam, CG Brinton, N Michelusi, V Aggarwal, ...
IEEE/ACM Transactions on Networking 30 (4), 1569-1584, 2022
Social learning networks: A brief survey
CG Brinton, M Chiang
2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014
Early detection prediction of learning outcomes in online short-courses via learning behaviors
W Chen, CG Brinton, D Cao, A Mason-Singh, C Lu, M Chiang
IEEE Transactions on Learning Technologies 12 (1), 44-58, 2018
Device sampling for heterogeneous federated learning: Theory, algorithms, and implementation
S Wang, M Lee, S Hosseinalipour, R Morabito, M Chiang, CG Brinton
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
Bi-directionally amplified extended reach 40Gb/s CWDM-TDM PON with burst-mode upstream transmission
PP Iannone, KC Reichmann, C Brinton, J Nakagawa, T Cusick, ...
Optical Fiber Communication Conference, PDPD6, 2011
Semi-decentralized federated learning with cooperative D2D local model aggregations
FPC Lin, S Hosseinalipour, SS Azam, CG Brinton, N Michelusi
IEEE Journal on Selected Areas in Communications 39 (12), 3851-3869, 2021
Behavior-Based Latent Variable Model for Learner Engagement.
AS Lan, CG Brinton, TY Yang, M Chiang
International Educational Data Mining Society, 2017
Social learning networks: Efficiency optimization for MOOC forums
CG Brinton, S Buccapatnam, FMF Wong, M Chiang, HV Poor
IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016
Personalized thread recommendation for MOOC discussion forums
AS Lan, JC Spencer, Z Chen, CG Brinton, M Chiang
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
Economic viability of a virtual ISP
L Zheng, C Joe-Wong, J Chen, CG Brinton, CW Tan, M Chiang
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
Methods and Systems for Creating, Delivering, Using, and Leveraging Integrated Teaching and Learning
M Chiang, S Ha, SR Rill, CG Brinton, W Ju
US Patent App. 14/063,289, 2014
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