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Advances and Open Problems in Federated Learning

Advances and Open Problems in Federated Learning

10 December 2019
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
A. Bhagoji
Keith Bonawitz
Zachary B. Charles
Graham Cormode
Rachel Cummings
Rafael G. L. DÓliveira
Hubert Eichner
S. E. Rouayheb
David E. Evans
Josh Gardner
Zachary Garrett
Adria Gascon
Badih Ghazi
Phillip B. Gibbons
Marco Gruteser
Zaïd Harchaoui
Chaoyang He
Lie He
Zhouyuan Huo
Ben Hutchinson
Justin Hsu
Martin Jaggi
T. Javidi
Gauri Joshi
M. Khodak
Jakub Konecný
Aleksandra Korolova
F. Koushanfar
Oluwasanmi Koyejo
Tancrède Lepoint
Yang Liu
Prateek Mittal
M. Mohri
Richard Nock
A. Özgür
Rasmus Pagh
Mariana Raykova
Hang Qi
Daniel Ramage
Ramesh Raskar
D. Song
Weikang Song
Sebastian U. Stich
Ziteng Sun
A. Suresh
Florian Tramèr
Praneeth Vepakomma
Jianyu Wang
Li Xiong
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
    FedML
    AI4CE
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Papers citing "Advances and Open Problems in Federated Learning"

50 / 778 papers shown
Title
Towards More Efficient Data Valuation in Healthcare Federated Learning
  using Ensembling
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
Sourav Kumar
A. Lakshminarayanan
Ken Chang
Feri Guretno
Ivan Ho Mien
Jayashree Kalpathy-Cramer
Pavitra Krishnaswamy
Praveer Singh
FedML
26
7
0
12 Sep 2022
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL):
  Communication Efficient Schemes With and Without Sparsification
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification
Sajani Vithana
S. Ulukus
FedML
13
19
0
09 Sep 2022
Unraveling the Connections between Privacy and Certified Robustness in
  Federated Learning Against Poisoning Attacks
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
Chulin Xie
Yunhui Long
Pin-Yu Chen
Qinbin Li
Arash Nourian
Sanmi Koyejo
Bo Li
FedML
35
13
0
08 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning
FedDAR: Federated Domain-Aware Representation Learning
Aoxiao Zhong
Hao He
Zhaolin Ren
Na Li
Quanzheng Li
OOD
AI4CE
29
9
0
08 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration
Federated Learning with Label Distribution Skew via Logits Calibration
Jie M. Zhang
Zhiqi Li
Bo-wen Li
Jianghe Xu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
10
140
0
01 Sep 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning
  for Click-Through Rate Prediction
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
Xianghang Liu
Bartlomiej Twardowski
Tri Kurniawan Wijaya
FedML
21
1
0
30 Aug 2022
A simplified convergence theory for Byzantine resilient stochastic
  gradient descent
A simplified convergence theory for Byzantine resilient stochastic gradient descent
Lindon Roberts
E. Smyth
15
3
0
25 Aug 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder
  for Dermatological Disease Diagnosis
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
11
7
0
24 Aug 2022
Joint Privacy Enhancement and Quantization in Federated Learning
Joint Privacy Enhancement and Quantization in Federated Learning
Natalie Lang
Elad Sofer
Tomer Shaked
Nir Shlezinger
FedML
19
46
0
23 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in
  Federated Learning
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
26
13
0
21 Aug 2022
Almost Cost-Free Communication in Federated Best Arm Identification
Almost Cost-Free Communication in Federated Best Arm Identification
Kota Srinivas Reddy
P. Karthik
Vincent Y. F. Tan
FedML
24
11
0
19 Aug 2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized
  Federated Learning with Heterogeneous Data
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
Xin Zhang
Minghong Fang
Zhuqing Liu
Haibo Yang
Jia-Wei Liu
Zhengyuan Zhu
FedML
10
14
0
17 Aug 2022
On the Convergence of Multi-Server Federated Learning with Overlapping
  Area
On the Convergence of Multi-Server Federated Learning with Overlapping Area
Zhe Qu
Xingyu Li
Jie Xu
Bo Tang
Zhuo Lu
Yao-Hong Liu
FedML
45
13
0
16 Aug 2022
Practical Vertical Federated Learning with Unsupervised Representation
  Learning
Practical Vertical Federated Learning with Unsupervised Representation Learning
Zhaomin Wu
Q. Li
Bingsheng He
FedML
27
36
0
13 Aug 2022
Trustworthy Federated Learning via Blockchain
Trustworthy Federated Learning via Blockchain
Zhanpeng Yang
Yuanming Shi
Yong Zhou
Zixin Wang
Kai Yang
32
67
0
13 Aug 2022
Dropout is NOT All You Need to Prevent Gradient Leakage
Dropout is NOT All You Need to Prevent Gradient Leakage
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
22
12
0
12 Aug 2022
Fast Heterogeneous Federated Learning with Hybrid Client Selection
Fast Heterogeneous Federated Learning with Hybrid Client Selection
Guangyuan Shen
D. Gao
Duanxiao Song
Libin Yang
Xukai Zhou
Shirui Pan
W. Lou
Fang Zhou
FedML
27
12
0
10 Aug 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data
  Exchange
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
M. Chiang
Christopher G. Brinton
FedML
17
5
0
04 Aug 2022
How Much Privacy Does Federated Learning with Secure Aggregation
  Guarantee?
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
A. Elkordy
Jiang Zhang
Yahya H. Ezzeldin
Konstantinos Psounis
A. Avestimehr
FedML
21
38
0
03 Aug 2022
Differentially Private Vertical Federated Clustering
Differentially Private Vertical Federated Clustering
Zitao Li
Tianhao Wang
Ninghui Li
FedML
21
18
0
02 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
43
59
0
02 Aug 2022
Online Decentralized Frank-Wolfe: From theoretical bound to applications
  in smart-building
Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building
Angan Mitra
K. Nguyen
T. Nguyen
Denis Trystram
P. Youssef
16
1
0
31 Jul 2022
AI Approaches in Processing and Using Data in Personalized Medicine
AI Approaches in Processing and Using Data in Personalized Medicine
M. Ivanović
Serge Autexier
Miltiadis Kokkonidis
14
5
0
26 Jul 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and
  Applications
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedML
OOD
AI4CE
21
35
0
24 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source
  Frameworks
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu
Tianneng Shi
Chulin Xie
Qinbin Li
Kangping Hu
...
The-Anh Vu-Le
Zhen Huang
Arash Nourian
Bo-wen Li
D. Song
FedML
19
8
0
21 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient
  Federated Learning
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
Yuanhao Xiong
Ruochen Wang
Minhao Cheng
Felix X. Yu
Cho-Jui Hsieh
FedML
DD
36
82
0
20 Jul 2022
On Decentralizing Federated Reinforcement Learning in Multi-Robot
  Scenarios
On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios
Jayprakash S. Nair
Divya D. Kulkarni
Ajitem Joshi
Sruthy Suresh
16
5
0
19 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving
  Quantized Federated Learning
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Hua Ma
Qun Li
Yifeng Zheng
Zhi Zhang
Xiaoning Liu
Yan Gao
S. Al-Sarawi
Derek Abbott
FedML
19
3
0
19 Jul 2022
FLAIR: Federated Learning Annotated Image Repository
FLAIR: Federated Learning Annotated Image Repository
Congzheng Song
Filip Granqvist
Kunal Talwar
FedML
16
27
0
18 Jul 2022
Multi-Task and Transfer Learning for Federated Learning Applications
Multi-Task and Transfer Learning for Federated Learning Applications
Cihat Keçeci
M. Shaqfeh
Hayat Mbayed
E. Serpedin
FedML
12
3
0
17 Jul 2022
Parallel Best Arm Identification in Heterogeneous Environments
Parallel Best Arm Identification in Heterogeneous Environments
Nikolai Karpov
Qin Zhang
36
8
0
16 Jul 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users
Collaborative Learning in Kernel-based Bandits for Distributed Users
Sudeep Salgia
Sattar Vakili
Qing Zhao
FedML
27
6
0
16 Jul 2022
Sotto Voce: Federated Speech Recognition with Differential Privacy
  Guarantees
Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees
Michael Shoemate
Kevin Jett
Ethan Cowan
Sean Colbath
James Honaker
P. Muthukumar
FedML
8
5
0
16 Jul 2022
Enhanced Security and Privacy via Fragmented Federated Learning
Enhanced Security and Privacy via Fragmented Federated Learning
N. Jebreel
J. Domingo-Ferrer
Alberto Blanco-Justicia
David Sánchez
FedML
13
26
0
13 Jul 2022
A new hope for network model generalization
A new hope for network model generalization
Alexander Dietmüller
Siddhant Ray
Romain Jacob
Laurent Vanbever
AI4CE
29
38
0
12 Jul 2022
Mechanisms that Incentivize Data Sharing in Federated Learning
Mechanisms that Incentivize Data Sharing in Federated Learning
Sai Praneeth Karimireddy
Wenshuo Guo
Michael I. Jordan
FedML
17
44
0
10 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense
  Mechanisms
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
17
13
0
05 Jul 2022
Defending against the Label-flipping Attack in Federated Learning
Defending against the Label-flipping Attack in Federated Learning
N. Jebreel
J. Domingo-Ferrer
David Sánchez
Alberto Blanco-Justicia
AAML
13
36
0
05 Jul 2022
Federated Self-supervised Learning for Video Understanding
Federated Self-supervised Learning for Video Understanding
Yasar Abbas Ur Rehman
Yan Gao
Jiajun Shen
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
17
15
0
05 Jul 2022
Protea: Client Profiling within Federated Systems using Flower
Protea: Client Profiling within Federated Systems using Flower
Wanru Zhao
Xinchi Qiu
Javier Fernandez-Marques
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
21
6
0
03 Jul 2022
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction
  in Privacy-Preserving Mobile Edge Computing Networks
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks
Chong Zheng
Shengheng Liu
Yongming Huang
Wei Zhang
Luxi Yang
12
20
0
02 Jul 2022
Where to Begin? On the Impact of Pre-Training and Initialization in
  Federated Learning
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen
Jianyu Wang
Kshitiz Malik
Maziar Sanjabi
Michael G. Rabbat
FedML
AI4CE
13
21
0
30 Jun 2022
FEATHERS: Federated Architecture and Hyperparameter Search
FEATHERS: Federated Architecture and Hyperparameter Search
Jonas Seng
P. Prasad
Martin Mundt
D. Dhami
Kristian Kersting
FedML
47
3
0
24 Jun 2022
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G
  Networks
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks
Amine Abouaomar
Afaf Taik
Abderrahime Filali
S. Cherkaoui
17
42
0
22 Jun 2022
Federated Latent Class Regression for Hierarchical Data
Federated Latent Class Regression for Hierarchical Data
Bin Yang
T. Carette
Masanobu Jimbo
Shinya Maruyama
FedML
15
0
0
22 Jun 2022
An Efficient Industrial Federated Learning Framework for AIoT: A Face
  Recognition Application
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Youlong Ding
Xueyang Wu
Zhitao Li
Zeheng Wu
S. Tan
Qian Xu
Weike Pan
Qiang Yang
FedML
33
4
0
21 Jun 2022
Decentralized adaptive clustering of deep nets is beneficial for client
  collaboration
Decentralized adaptive clustering of deep nets is beneficial for client collaboration
Edvin Listo Zec
Ebba Ekblom
Martin Willbo
Olof Mogren
Sarunas Girdzijauskas
OOD
FedML
18
8
0
17 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning
On Privacy and Personalization in Cross-Silo Federated Learning
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
20
51
0
16 Jun 2022
Global Convergence of Federated Learning for Mixed Regression
Global Convergence of Federated Learning for Mixed Regression
Lili Su
Jiaming Xu
Pengkun Yang
FedML
25
7
0
15 Jun 2022
The Metaverse Data Deluge: What Can We Do About It?
The Metaverse Data Deluge: What Can We Do About It?
Beng Chin Ooi
Gang Chen
Mike Zheng Shou
K. Tan
A. Tung
X. Xiao
J. Yip
Meihui Zhang
15
10
0
14 Jun 2022
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