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1912.04977
Cited By
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 / 735 papers shown
Title
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise
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Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
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Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
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When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
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86
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0
27 Jun 2023
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Mert Nakıp
Baran Can Gül
Erol Gelenbe
19
8
0
22 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark
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Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
35
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0
20 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning
Tiantian Feng
Digbalay Bose
Tuo Zhang
Rajat Hebbar
Anil Ramakrishna
Rahul Gupta
Mi Zhang
Salman Avestimehr
Shrikanth Narayanan
29
48
0
15 Jun 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
Berivan Isik
Wei-Ning Chen
Ayfer Özgür
Tsachy Weissman
Albert No
43
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0
08 Jun 2023
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
S. Krishnan
Jihong Park
S. Sagar
Gregory Sherman
Benjamin Campbell
Jinho D. Choi
19
4
0
01 Jun 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
Jiamian Wang
Zong-Jhe Wu
Yulun Zhang
Xin Yuan
Tao R. Lin
Zhiqiang Tao
FedML
46
3
0
01 Jun 2023
Deep Equilibrium Models Meet Federated Learning
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D. Ampeliotis
K. Berberidis
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22
3
0
29 May 2023
Collaborative Learning via Prediction Consensus
Dongyang Fan
Celestine Mendler-Dünner
Martin Jaggi
FedML
25
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0
29 May 2023
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction
Collin Meese
Hang Chen
Syed Ali Asif
Wanxin Li
Chien-Chung Shen
Mark M. Nejad
12
21
0
28 May 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Florian E. Dorner
Nikola Konstantinov
Georgi Pashaliev
Martin Vechev
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0
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Lightweight Learner for Shared Knowledge Lifelong Learning
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Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
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Gozde Sahin
Shuo Ni
Kiran Lekkala
S. Sontakke
Laurent Itti
CLL
19
10
0
24 May 2023
Can Copyright be Reduced to Privacy?
N. Elkin-Koren
Uri Y. Hacohen
Roi Livni
Shay Moran
17
21
0
24 May 2023
Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation
Shashi Raj Pandey
Van-Phuc Bui
P. Popovski
FedML
18
4
0
19 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Yan Sun
Li Shen
Shi-Yong Chen
Liang Ding
Dacheng Tao
FedML
22
33
0
19 May 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Yuki Takezawa
Ryoma Sato
Han Bao
Kenta Niwa
M. Yamada
29
9
0
19 May 2023
Amplification by Shuffling without Shuffling
Borja Balle
James Bell
Adria Gascon
FedML
25
2
0
18 May 2023
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime
Jongho Park
Jinchao Xu
FedML
42
1
0
17 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps
Jed Mills
Jia Hu
Geyong Min
FedML
30
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0
16 May 2023
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
15
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0
15 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
49
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0
10 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan
N. Ragothaman
D. Kalathil
S. Shakkottai
OffRL
16
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0
04 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
27
5
0
01 May 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates
Chenyang Ma
Xinchi Qiu
Daniel J. Beutel
Nicholas D. Lane
FedML
16
12
0
15 Apr 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
Dachao Lin
Yuze Han
Haishan Ye
Zhihua Zhang
17
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0
15 Apr 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
Tuo Zhang
Lei Gao
Sunwoo Lee
Mi Zhang
Salman Avestimehr
FedML
22
28
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14 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning
Xiaojin Zhang
Lixin Fan
Si-Yi Wang
Wenjie Li
Kai Chen
Qiang Yang
FedML
11
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0
11 Apr 2023
HPN: Personalized Federated Hyperparameter Optimization
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Zhen Wang
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16
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Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives
Roberto Casadei
AI4CE
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RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense
Yue-li Cui
Syed Imran Ali Meerza
Zhuohang Li
Luyang Liu
Jiaxin Zhang
Jian-Dong Liu
AAML
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21
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11 Apr 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
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Kfir Y. Levy
FedML
40
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Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Kang Wei
Jun Li
Chuan Ma
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Feng Shu
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Hongbo Zhu
FedML
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Neural Collapse Inspired Federated Learning with Non-iid Data
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Liang Xie
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Green Federated Learning
Ashkan Yousefpour
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Ilya Mironov
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36
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A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing
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Ahmed Imteaj
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FS-Real: Towards Real-World Cross-Device Federated Learning
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109
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AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT
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A Survey on Class Imbalance in Federated Learning
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39
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Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
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FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
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Pingyi Fan
Khaled B. Letaief
FedML
27
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On the Fusion Strategies for Federated Decision Making
Mert Kayaalp
Yunus Inan
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E. Telatar
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Model-Agnostic Federated Learning
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Iacopo Colonnelli
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Distributed and Deep Vertical Federated Learning with Big Data
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Z. Li
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Dejing Dou
FedML
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Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy
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Decentralized Learning Made Practical with Client Sampling
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FLINT: A Platform for Federated Learning Integration
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Ajaykumar Kannan
Yuefeng Liang
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Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
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Huy Hieu Pham
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A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
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Zenglin Xu
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FedML
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