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Mitigating Biases in Student Performance Prediction via Attention-Based
  Personalized Federated Learning

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning

2 August 2022
Yun-Wei Chu
Seyyedali Hosseinalipour
Elizabeth Tenorio
Laura Cruz
K. Douglas
Andrew Lan
Christopher G. Brinton
    FedMLAI4Ed
ArXiv (abs)PDFHTML

Papers citing "Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning"

12 / 12 papers shown
Title
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Yun-Wei Chu
Dong-Jun Han
Christopher G. Brinton
109
4
0
15 Jan 2024
Are Pre-trained Convolutions Better than Pre-trained Transformers?
Are Pre-trained Convolutions Better than Pre-trained Transformers?
Yi Tay
Mostafa Dehghani
J. Gupta
Dara Bahri
V. Aribandi
Zhen Qin
Donald Metzler
AI4CE
66
49
0
07 May 2021
Algorithmic Fairness in Education
Algorithmic Fairness in Education
René F. Kizilcec
Hansol Lee
FaML
58
124
0
10 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang
Lingyang Chu
Zirui Zhou
Lanjun Wang
Jiangchuan Liu
J. Pei
Yong Zhang
FedML
90
609
0
07 Jul 2020
Personalized Federated Learning: A Meta-Learning Approach
Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
FedML
154
569
0
19 Feb 2020
Improving Federated Learning Personalization via Model Agnostic Meta
  Learning
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
74
601
0
27 Sep 2019
Learning Private Neural Language Modeling with Attentive Aggregation
Learning Private Neural Language Modeling with Attentive Aggregation
Shaoxiong Ji
Shirui Pan
Guodong Long
Xue Li
Jing Jiang
Zi Huang
FedMLMoMe
73
142
0
17 Dec 2018
Beyond Parity: Fairness Objectives for Collaborative Filtering
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao
Bert Huang
FaML
40
368
0
24 May 2017
Dynamic Key-Value Memory Networks for Knowledge Tracing
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang
Xingjian Shi
Irwin King
Dit-Yan Yeung
AI4EdKELM
68
621
0
24 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
306
4,646
0
18 Oct 2016
Deep Knowledge Tracing
Deep Knowledge Tracing
Chris Piech
J. Bassen
Jonathan Huang
Surya Ganguli
Mehran Sahami
Leonidas Guibas
Jascha Narain Sohl-Dickstein
AI4EdHAI
94
1,157
0
19 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
677
31,512
0
16 Jan 2013
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