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RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed
  Learning from Heterogeneous Datasets

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

9 November 2018
Liping Li
Canran Xu
Xiangnan He
Yixin Cao
Tat-Seng Chua
    FedML
ArXivPDFHTML

Papers citing "RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets"

17 / 217 papers shown
Title
Adversary-resilient Distributed and Decentralized Statistical Inference
  and Machine Learning: An Overview of Recent Advances Under the Byzantine
  Threat Model
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Zhixiong Yang
Arpita Gang
W. Bajwa
OOD
AAML
20
16
0
23 Aug 2019
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang
Zhixiong Yang
W. Bajwa
19
96
0
21 Aug 2019
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust
  aggregation of classifiers
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers
Mahmoud Albardan
John Klein
O. Colot
8
5
0
18 Aug 2019
GraphSW: a training protocol based on stage-wise training for GNN-based
  Recommender Model
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model
Chang-You Tai
Meng-Ru Wu
Yun-Wei Chu
Shao-Yu Chu
11
3
0
13 Aug 2019
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social
  Media
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
Yunshan Ma
Xun Yang
Lizi Liao
Yixin Cao
Tat-Seng Chua
11
49
0
12 Aug 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLM
ObjD
35
800
0
10 Aug 2019
Making Neural Networks FAIR
Making Neural Networks FAIR
Anna Nguyen
T. Weller
Michael Färber
York Sure-Vetter
14
11
0
26 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
37
975
0
23 Jul 2019
Data Encoding for Byzantine-Resilient Distributed Optimization
Data Encoding for Byzantine-Resilient Distributed Optimization
Deepesh Data
Linqi Song
Suhas Diggavi
FedML
16
33
0
05 Jul 2019
Ekar: An Explainable Method for Knowledge Aware Recommendation
Ekar: An Explainable Method for Knowledge Aware Recommendation
Weiping Song
Zhijian Duan
Ziqing Yang
Haozhe Zhu
Ming Zhang
Jian Tang
CML
29
15
0
22 Jun 2019
Robust Federated Learning in a Heterogeneous Environment
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh
Justin Hong
Dong Yin
Kannan Ramchandran
OOD
FedML
24
214
0
16 Jun 2019
Secure Distributed On-Device Learning Networks With Byzantine
  Adversaries
Secure Distributed On-Device Learning Networks With Byzantine Adversaries
Yanjie Dong
Julian Cheng
Md. Jahangir Hossain
Victor C. M. Leung
FedML
12
23
0
03 Jun 2019
Relational Collaborative Filtering:Modeling Multiple Item Relations for
  Recommendation
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Xin Xin
Xiangnan He
Yongfeng Zhang
Yongdong Zhang
J. Jose
15
161
0
29 Apr 2019
DuBox: No-Prior Box Objection Detection via Residual Dual Scale
  Detectors
DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors
Shuai Chen
Jinpeng Li
Chuanqi Yao
Wenbo Hou
Shuo Qin
Wenyao Jin
Xu Tang
ObjD
25
7
0
15 Apr 2019
A Framework for Automated Pop-song Melody Generation with Piano
  Accompaniment Arrangement
A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement
Ziyu Wang
Gus Xia
6
3
0
28 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Yuchen Zhang
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
33
5,416
0
20 Dec 2018
Securing Distributed Gradient Descent in High Dimensional Statistical
  Learning
Securing Distributed Gradient Descent in High Dimensional Statistical Learning
Lili Su
Jiaming Xu
FedML
137
35
0
26 Apr 2018
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