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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 / 857 papers shown
Title
Online Learning with Bounded Recall
Online Learning with Bounded Recall
Jon Schneider
Kiran Vodrahalli
11
1
0
28 May 2022
Federated Split BERT for Heterogeneous Text Classification
Federated Split BERT for Heterogeneous Text Classification
Zhengyang Li
Shijing Si
Jianzong Wang
Jing Xiao
FedML
25
21
0
26 May 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System
Cali3F: Calibrated Fast Fair Federated Recommendation System
Zhitao Zhu
Shijing Si
Jianzong Wang
Jing Xiao
FedML
73
14
0
26 May 2022
VeriFi: Towards Verifiable Federated Unlearning
VeriFi: Towards Verifiable Federated Unlearning
Xiangshan Gao
Xingjun Ma
Jingyi Wang
Youcheng Sun
Bo Li
S. Ji
Peng Cheng
Jiming Chen
MU
65
46
0
25 May 2022
Federated singular value decomposition for high dimensional data
Federated singular value decomposition for high dimensional data
Anne Hartebrodt
Richard Rottger
David B. Blumenthal
FedML
24
11
0
24 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
D. Song
Michael I. Jordan
FedML
93
30
0
24 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning
  Using a Lazy Influence Approximation
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
25
1
0
23 May 2022
Improved Utility Analysis of Private CountSketch
Improved Utility Analysis of Private CountSketch
Rasmus Pagh
M. Thorup
FedML
34
20
0
17 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
FLAD: Adaptive Federated Learning for DDoS Attack Detection
FLAD: Adaptive Federated Learning for DDoS Attack Detection
Roberto Doriguzzi-Corin
Domenico Siracusa
FedML
23
61
0
13 May 2022
Tighter Regret Analysis and Optimization of Online Federated Learning
Tighter Regret Analysis and Optimization of Online Federated Learning
Dohyeok Kwon
Jonghwan Park
Songnam Hong
26
11
0
13 May 2022
Over-the-Air Federated Learning with Joint Adaptive Computation and
  Power Control
Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control
Haibo Yang
Pei-Yuan Qiu
Jia Liu
Aylin Yener
8
18
0
12 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks
Federated Multi-Armed Bandits Under Byzantine Attacks
Artun Saday
Ilker Demirel
Yiğit Yıldırım
Cem Tekin
AAML
25
13
0
09 May 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic
  Literature Review
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
Leon Witt
Mathis Heyer
Kentaroh Toyoda
Wojciech Samek
Dan Li
FedML
33
47
0
07 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey
Djamila Bouhata
Hamouma Moumen
Moumen Hamouma
Ahcène Bounceur
AI4CE
25
7
0
05 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
38
73
0
04 May 2022
Decision Models for Selecting Federated Learning Architecture Patterns
Decision Models for Selecting Federated Learning Architecture Patterns
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
AI4CE
FedML
29
0
0
28 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
18
15
0
26 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+
Federated Progressive Sparsification (Purge, Merge, Tune)+
Dimitris Stripelis
Umang Gupta
Greg Ver Steeg
J. Ambite
FedML
15
9
0
26 Apr 2022
Time-triggered Federated Learning over Wireless Networks
Time-triggered Federated Learning over Wireless Networks
Xiaokang Zhou
Yansha Deng
Huiyun Xia
Shaochuan Wu
M. Bennis
FedML
18
20
0
26 Apr 2022
A Closer Look at Personalization in Federated Image Classification
A Closer Look at Personalization in Federated Image Classification
Changxing Jing
Yan Huang
Yihong Zhuang
Liyan Sun
Yue Huang
Zhenlong Xiao
Xinghao Ding
24
1
0
22 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation
  Efficient Federated Learning
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning
Afsaneh Mahmoudi
H. S. Ghadikolaei
José Hélio da Cruz Júnior
Carlo Fischione
9
9
0
16 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
  Visualization
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
Chaoli Wang
J. Han
28
36
0
13 Apr 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient
  Package for Federated Graph Learning
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
13
77
0
12 Apr 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
20
97
0
09 Apr 2022
Federated Learning with Partial Model Personalization
Federated Learning with Partial Model Personalization
Krishna Pillutla
Kshitiz Malik
Abdel-rahman Mohamed
Michael G. Rabbat
Maziar Sanjabi
Lin Xiao
FedML
39
154
0
08 Apr 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous
  Communication Thresholds
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
30
15
0
07 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
21
22
0
07 Apr 2022
Federated Learning from Only Unlabeled Data with
  Class-Conditional-Sharing Clients
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
Nan Lu
Zhao Wang
Xiaoxiao Li
Gang Niu
Qianming Dou
Masashi Sugiyama
FedML
17
39
0
07 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for
  Performance Improvement
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
Hao Zhang
Tingting Wu
Siyao Cheng
Jie Liu
FedML
30
11
0
07 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG
  Communication Networks
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
Yi Shi
Y. Sagduyu
T. Erpek
FedML
17
15
0
06 Apr 2022
Federated Self-supervised Speech Representations: Are We There Yet?
Federated Self-supervised Speech Representations: Are We There Yet?
Yan Gao
Javier Fernandez-Marques
Titouan Parcollet
Abhinav Mehrotra
Nicholas D. Lane
22
13
0
06 Apr 2022
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning
Evan W. R. Madill
Ben Nguyen
C. Leung
Sara Rouhani
25
20
0
04 Apr 2022
Byzantine-Robust Federated Linear Bandits
Byzantine-Robust Federated Linear Bandits
Ali Jadbabaie
Haochuan Li
Jian Qian
Yi Tian
FedML
21
12
0
03 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Florian Tramèr
Reza Shokri
Ayrton San Joaquin
Hoang Minh Le
Matthew Jagielski
Sanghyun Hong
Nicholas Carlini
MIACV
25
106
0
31 Mar 2022
Federated Named Entity Recognition
Federated Named Entity Recognition
Joel Mathew
Dimitris Stripelis
J. Ambite
FedML
20
1
0
28 Mar 2022
Adversarial Representation Sharing: A Quantitative and Secure
  Collaborative Learning Framework
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework
Jikun Chen
Feng Qiang
Na Ruan
FedML
9
1
0
27 Mar 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
H. Fu
Lei Zhu
X. Li
FedML
10
48
0
26 Mar 2022
Sparse Federated Learning with Hierarchical Personalized Models
Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu
Qing Wang
Yunfeng Shao
Yinchuan Li
FedML
36
11
0
25 Mar 2022
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
  Secure Aggregation for Federated Learning
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Songze Li
Giuseppe Caire
FedML
21
45
0
24 Mar 2022
Asynchronous Collaborative Learning Across Data Silos
Asynchronous Collaborative Learning Across Data Silos
Tiffany Tuor
J. Lockhart
Daniele Magazzeni
FedML
21
3
0
23 Mar 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
30
36
0
23 Mar 2022
Adaptive Aggregation For Federated Learning
Adaptive Aggregation For Federated Learning
K. R. Jayaram
Vinod Muthusamy
Gegi Thomas
Ashish Verma
Mark Purcell
FedML
22
16
0
23 Mar 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling
  and Correction
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao
H. Fu
Li Li
Yingwen Chen
Minghua Xu
Chengzhong Xu
FedML
21
242
0
22 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles:
  Challenges and Directions
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions
Brian Hildebrand
Mohamed Baza
Tara Salman
Fathi H. Amsaad
Abdul Razaqu
Abdullah Alourani
25
45
0
21 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image
  Segmentation
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
H. Roth
Ali Hatamizadeh
Can Zhao
Daguang Xu
Heng-Chiao Huang
Ziyue Xu
FedML
28
51
0
18 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for
  Non-IID Federated Learning
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Lin Zhang
Li Shen
Liang Ding
Dacheng Tao
Ling-Yu Duan
FedML
28
252
0
17 Mar 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated
  Learning
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
Gorka Abad
Servio Paguada
Oguzhan Ersoy
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
FedML
16
6
0
16 Mar 2022
Training a Tokenizer for Free with Private Federated Learning
Training a Tokenizer for Free with Private Federated Learning
Eugene Bagdasaryan
Congzheng Song
Rogier van Dalen
M. Seigel
Áine Cahill
FedML
19
5
0
15 Mar 2022
Auto-FedRL: Federated Hyperparameter Optimization for
  Multi-institutional Medical Image Segmentation
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Pengfei Guo
Dong Yang
Ali Hatamizadeh
An Xu
Ziyue Xu
...
F. Patella
Elvira Stellato
G. Carrafiello
Vishal M. Patel
H. Roth
OOD
FedML
17
32
0
12 Mar 2022
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