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Advances and Open Problems in Federated Learning
v1v2v3 (latest)

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 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
Basel Alomair
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
    FedMLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Advances and Open Problems in Federated Learning"

50 / 2,962 papers shown
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging,
  Query, Representation, Completion and Applications
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Chaochao Chen
Jamie Cui
Guanfeng Liu
Hongzhi Zhang
Li Wang
268
27
0
20 Nov 2020
Asymmetric Private Set Intersection with Applications to Contact Tracing
  and Private Vertical Federated Machine Learning
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
Nick Angelou
Ayoub Benaissa
Bogdan Cebere
William Clark
A. Hall
...
Pavlos Papadopoulos
Robin Roehm
R. Sandmann
Phillipp Schoppmann
Tom Titcombe
168
30
0
18 Nov 2020
Federated Composite Optimization
Federated Composite OptimizationInternational Conference on Machine Learning (ICML), 2020
Honglin Yuan
Manzil Zaheer
Sashank J. Reddi
FedML
301
64
0
17 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in
  Federated Learning
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated LearningIEEE Internet of Things Journal (IEEE IoT J.), 2020
Ihab Mohammed
Shadha Tabatabai
Ala I. Al-Fuqaha
Faissal El Bouanani
Junaid Qadir
Basheer Qolomany
Mohsen Guizani
162
70
0
16 Nov 2020
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in
  Blockchain Federated Learning Environments
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments
Harry Cai
Daniel Rueckert
Jonathan Passerat-Palmbach
FedML
84
12
0
15 Nov 2020
Dynamic backdoor attacks against federated learning
Dynamic backdoor attacks against federated learning
Anbu Huang
AAMLFedML
106
22
0
15 Nov 2020
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated
  Learning in Non-IID Environments
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments
Reza Nasirigerdeh
Mohammad Bakhtiari
Reihaneh Torkzadehmahani
Amirhossein Bayat
M. List
David B. Blumenthal
Jan Baumbach
FedML
199
9
0
13 Nov 2020
An Exploratory Analysis on Users' Contributions in Federated Learning
An Exploratory Analysis on Users' Contributions in Federated LearningInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2020
Jiyue Huang
Rania Talbi
Zilong Zhao
S. Bouchenak
L. Chen
Stefanie Roos
FedML
233
37
0
13 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from
  the GDPR Perspective
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
N. Truong
Kai Sun
Siyao Wang
Florian Guitton
Wenhan Luo
FedML
312
10
0
10 Nov 2020
Compression Boosts Differentially Private Federated Learning
Compression Boosts Differentially Private Federated Learning
Raouf Kerkouche
G. Ács
C. Castelluccia
P. Genevès
FedML
146
37
0
10 Nov 2020
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization
Tamara Alshammari
S. Samarakoon
Anis Elgabli
M. Bennis
259
5
0
09 Nov 2020
SplitEasy: A Practical Approach for Training ML models on Mobile Devices
SplitEasy: A Practical Approach for Training ML models on Mobile Devices
Kamalesh Palanisamy
Vivek Khimani
Moin Hussain Moti
Dimitris Chatzopoulos
333
24
0
09 Nov 2020
Adaptive Federated Dropout: Improving Communication Efficiency and
  Generalization for Federated Learning
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Nader Bouacida
Jiahui Hou
H. Zang
Xin Liu
FedML
224
90
0
08 Nov 2020
Communication-efficient Decentralized Local SGD over Undirected Networks
Communication-efficient Decentralized Local SGD over Undirected Networks
Tiancheng Qin
S. Rasoul Etesami
César A. Uribe
FedML
139
14
0
06 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedMLGNN
210
82
0
06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and
  Models
Resource-Constrained Federated Learning with Heterogeneous Labels and Models
Gautham Krishna Gudur
B. Balaji
S. K. Perepu
FedML
84
22
0
06 Nov 2020
Federated Knowledge Distillation
Federated Knowledge Distillation
Hyowoon Seo
Jihong Park
Seungeun Oh
M. Bennis
Seong-Lyun Kim
FedML
222
102
0
04 Nov 2020
A Linearly Convergent Algorithm for Decentralized Optimization: Sending
  Less Bits for Free!
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
D. Kovalev
Anastasia Koloskova
Martin Jaggi
Peter Richtárik
Sebastian U. Stich
214
80
0
03 Nov 2020
Semi-supervised Federated Learning for Activity Recognition
Semi-supervised Federated Learning for Activity Recognition
Yuchen Zhao
Hanyang Liu
Honglin Li
Payam Barnaghi
Hamed Haddadi
FedMLHAI
120
87
0
02 Nov 2020
One-Shot Federated Learning with Neuromorphic Processors
One-Shot Federated Learning with Neuromorphic Processors
Kenneth Stewart
Yanqi Gu
FedML
150
2
0
01 Nov 2020
Differentially Private Bayesian Inference for Generalized Linear Models
Differentially Private Bayesian Inference for Generalized Linear ModelsInternational Conference on Machine Learning (ICML), 2020
Tejas D. Kulkarni
Hibiki Ito
A. Koskela
Samuel Kaski
Antti Honkela
343
30
0
01 Nov 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic
  Data Procurement in the Pursuit of Fairness
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of FairnessConference on Fairness, Accountability and Transparency (FAccT), 2020
Mckane Andrus
Elena Spitzer
Jeffrey Brown
Alice Xiang
339
144
0
30 Oct 2020
Training Speech Recognition Models with Federated Learning: A
  Quality/Cost Framework
Training Speech Recognition Models with Federated Learning: A Quality/Cost FrameworkIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Dhruv Guliani
F. Beaufays
Giovanni Motta
FedML
200
88
0
29 Oct 2020
Finite-Time Convergence Rates of Decentralized Stochastic Approximation
  with Applications in Multi-Agent and Multi-Task Learning
Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task LearningIEEE Transactions on Automatic Control (IEEE TAC), 2020
Sihan Zeng
Thinh T. Doan
Justin Romberg
314
16
0
28 Oct 2020
Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing
  Technologies: Technical, Legal and Ethical Synthesis
Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical SynthesisJournal of Medical Internet Research (JMIR), 2020
J. Scheibner
J. Raisaro
J. Troncoso-Pastoriza
M. Ienca
J. Fellay
E. Vayena
Jean-Pierre Hubaux
95
95
0
27 Oct 2020
Federated Learning From Big Data Over Networks
Federated Learning From Big Data Over NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Y. Sarcheshmehpour
M. Leinonen
A. Jung
FedML
124
17
0
27 Oct 2020
Optimal Client Sampling for Federated Learning
Optimal Client Sampling for Federated Learning
Jiajun He
Samuel Horváth
Peter Richtárik
FedML
356
230
0
26 Oct 2020
Stochastic Optimization with Laggard Data Pipelines
Stochastic Optimization with Laggard Data PipelinesNeural Information Processing Systems (NeurIPS), 2020
Naman Agarwal
Rohan Anil
Tomer Koren
Kunal Talwar
Cyril Zhang
90
12
0
26 Oct 2020
Exploring the Security Boundary of Data Reconstruction via Neuron
  Exclusivity Analysis
Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity AnalysisUSENIX Security Symposium (USENIX Security), 2020
Xudong Pan
Mi Zhang
Yifan Yan
Jiaming Zhu
Zhemin Yang
AAML
203
24
0
26 Oct 2020
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping ApproachProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2020
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
475
94
0
24 Oct 2020
Linearly Converging Error Compensated SGD
Linearly Converging Error Compensated SGDNeural Information Processing Systems (NeurIPS), 2020
Eduard A. Gorbunov
D. Kovalev
Dmitry Makarenko
Peter Richtárik
346
85
0
23 Oct 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Throughput-Optimal Topology Design for Cross-Silo Federated LearningNeural Information Processing Systems (NeurIPS), 2020
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
336
107
0
23 Oct 2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Hierarchical Federated Learning through LAN-WAN Orchestration
Jinliang Yuan
Mengwei Xu
Xiao Ma
Ao Zhou
Xuanzhe Liu
Shangguang Wang
FedML
111
41
0
22 Oct 2020
MixCon: Adjusting the Separability of Data Representations for Harder
  Data Recovery
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
Xiaoxiao Li
Yangsibo Huang
Binghui Peng
Zhao Song
Keqin Li
MIACV
207
1
0
22 Oct 2020
Differentially-Private Federated Linear Bandits
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey
Alex Pentland
FedML
223
131
0
22 Oct 2020
Decentralized Deep Learning using Momentum-Accelerated Consensus
Decentralized Deep Learning using Momentum-Accelerated Consensus
Aditya Balu
Zhanhong Jiang
Sin Yong Tan
Chinmay Hedge
Young M. Lee
Soumik Sarkar
FedML
208
25
0
21 Oct 2020
Mitigating Sybil Attacks on Differential Privacy based Federated
  Learning
Mitigating Sybil Attacks on Differential Privacy based Federated Learning
Yupeng Jiang
Yong Li
Yipeng Zhou
Xi Zheng
FedMLAAML
131
20
0
20 Oct 2020
Federated Bayesian Optimization via Thompson Sampling
Federated Bayesian Optimization via Thompson SamplingNeural Information Processing Systems (NeurIPS), 2020
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
434
132
0
20 Oct 2020
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for
  Hybrid FSO/RF Non-Terrestrial Networks
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial NetworksIEEE Transactions on Vehicular Technology (TVT), 2020
Ju-Hyung Lee
Jihong Park
M. Bennis
Young-Chai Ko
162
77
0
20 Oct 2020
Privacy-preserving Data Sharing on Vertically Partitioned Data
Privacy-preserving Data Sharing on Vertically Partitioned Data
Razane Tajeddine
Hibiki Ito
Samuel Kaski
Antti Honkela
FedML
267
8
0
19 Oct 2020
From Distributed Machine Learning To Federated Learning: In The View Of
  Data Privacy And Security
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And SecurityConcurrency and Computation (CCPE), 2020
Sheng Shen
Tianqing Zhu
Di Wu
Wei Wang
Wanlei Zhou
FedMLOOD
185
96
0
19 Oct 2020
Federated Unsupervised Representation Learning
Federated Unsupervised Representation LearningFrontiers of Information Technology & Electronic Engineering (FITEE), 2020
Tai-wei Chang
Kun Kuang
Zhaoyang You
Tao Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
214
161
0
18 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated
  Learning
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Fan Mo
Anastasia Borovykh
Mohammad Malekzadeh
Hamed Haddadi
Soteris Demetriou
FedML
237
34
0
17 Oct 2020
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions
  in Multi-Robot Systems
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot SystemsIEEE International Conference on Robotics and Automation (ICRA), 2020
Nathalie Majcherczyk
Nishan Srishankar
Carlo Pinciroli
FedMLAI4CE
121
37
0
16 Oct 2020
Secure and Fault Tolerant Decentralized Learning
Secure and Fault Tolerant Decentralized Learning
Saurav Prakash
H. Hashemi
Yongqin Wang
M. Annavaram
Salman Avestimehr
FedML
339
11
0
15 Oct 2020
Privacy-Preserving Object Detection & Localization Using Distributed
  Machine Learning: A Case Study of Infant Eyeblink Conditioning
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Stefan Zwaard
H. Boele
H. Alers
Christos Strydis
C. Lew‐Williams
Zaid Al-Ars
FedML
138
3
0
14 Oct 2020
Can Federated Learning Save The Planet?
Can Federated Learning Save The Planet?
Xinchi Qiu
Titouan Parcollet
Daniel J. Beutel
Taner Topal
Akhil Mathur
Nicholas D. Lane
421
103
0
13 Oct 2020
Direct Federated Neural Architecture Search
Direct Federated Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
FedML
211
20
0
13 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection
Oort: Efficient Federated Learning via Guided Participant Selection
Fan Lai
Xiangfeng Zhu
H. Madhyastha
Mosharaf Chowdhury
FedMLOODD
487
312
0
12 Oct 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks
TextHide: Tackling Data Privacy in Language Understanding Tasks
Yangsibo Huang
Zhao Song
Danqi Chen
Keqin Li
Sanjeev Arora
FedML
153
60
0
12 Oct 2020
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