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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 / 2,960 papers shown
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data
Xiaolu Wang
Yuchang Sun
Hoi-To Wai
Jun Zhang
267
2
0
27 May 2024
A Systematic Review of Federated Generative Models
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
284
7
0
26 May 2024
Fair Federated Learning under Domain Skew with Local Consistency and
  Domain Diversity
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen
Wenke Huang
Mang Ye
FedML
249
42
0
26 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
Shutong Chen
Tianyi Zhou
Guodong Long
Jie Ma
Jing Jiang
Chengqi Zhang
FedML
237
2
0
26 May 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order
  Similarity
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
Qihao Zhou
Haishan Ye
Luo Luo
293
1
0
25 May 2024
Federated Learning for Non-factorizable Models using Deep Generative
  Prior Approximations
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations
Conor Hassan
Joshua J Bon
Elizaveta Semenova
Antonietta Mira
Kerrie Mengersen
158
1
0
25 May 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language
  Models
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
Kunjal Panchal
Nisarg Parikh
Sunav Choudhary
Lijun Zhang
Yuriy Brun
Hui Guan
222
6
0
24 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via
  Aggregated Parameterized Scaler
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng
Han Yu
Xiaoli Tang
Xiaoxiao Li
288
7
0
24 May 2024
Transformer-based Federated Learning for Multi-Label Remote Sensing
  Image Classification
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification
Baris Büyüktas
Kenneth Weitzel
Sebastian Völkers
Felix Zailskas
Tim Siebert
301
12
0
24 May 2024
Federated Offline Policy Optimization with Dual Regularization
Federated Offline Policy Optimization with Dual Regularization
Sheng Yue
Zerui Qin
Xingyuan Hua
Yongheng Deng
Ju Ren
OffRL
246
2
0
24 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio
Gabriele Dominici
Pietro Barbiero
Alberto Tonda
M. Gjoreski
Marc Langheinrich
FedML
317
0
0
24 May 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Chaosheng Dong
Haibo Yang
FedML
522
9
0
24 May 2024
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings
Madison Threadgill
A. Gerstlauer
149
2
0
23 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Recurrent Early Exits for Federated Learning with Heterogeneous ClientsInternational Conference on Machine Learning (ICML), 2024
Royson Lee
Javier Fernandez-Marques
S. Hu
Da Li
Stefanos Laskaridis
Łukasz Dudziak
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
262
10
0
23 May 2024
Overcoming the Challenges of Batch Normalization in Federated Learning
Overcoming the Challenges of Batch Normalization in Federated Learning
R. Guerraoui
Rafael Pinot
Geovani Rizk
John Stephan
François Taiani
FedML
262
6
0
23 May 2024
Worldwide Federated Training of Language Models
Worldwide Federated Training of Language Models
Alexandru Iacob
Lorenzo Sani
Bill Marino
Preslav Aleksandrov
William F. Shen
Nicholas D. Lane
FedML
351
6
0
23 May 2024
Fair Evaluation of Federated Learning Algorithms for Automated Breast
  Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated
  Learning Challenge
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge
Kendall Schmidt
Ben Bearce
Ken Chang
Laura Coombs
Keyvan Farahani
...
Klaus H. Maier-Hein
Yi Qin
Xiaomeng Li
Jayashree Kalpathy-Cramer
Holger Roth
OODFedML
105
0
0
22 May 2024
Federated Learning in Healthcare: Model Misconducts, Security,
  Challenges, Applications, and Future Research Directions -- A Systematic
  Review
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
226
22
0
22 May 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level
  Differential Privacy
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
Puning Zhao
Lifeng Lai
Li Shen
Qingming Li
Yan Han
Zhe Liu
278
12
0
22 May 2024
StatAvg: Mitigating Data Heterogeneity in Federated Learning for
  Intrusion Detection Systems
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
Pavlos S. Bouzinis
Panagiotis I. Radoglou-Grammatikis
Ioannis Makris
T. Lagkas
Vasileios Argyriou
Georgios Th. Papadopoulos
Panagiotis G. Sarigiannidis
G. Karagiannidis
133
5
0
20 May 2024
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable
  Federated Learning
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning
Liuzhi Zhou
Yu He
Kun Zhai
Xiang Liu
Sen Liu
Jiabo He
Guangnan Ye
Yu-Gang Jiang
Hongfeng Chai
FedML
138
4
0
20 May 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous
  Learning with Intermittent Communication
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Kumar Kshitij Patel
Margalit Glasgow
Ali Zindari
Lingxiao Wang
Sebastian U. Stich
Ziheng Cheng
Nirmit Joshi
Nathan Srebro
266
11
0
19 May 2024
Securing Health Data on the Blockchain: A Differential Privacy and
  Federated Learning Framework
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
Daniel Commey
Sena Hounsinou
Garth V. Crosby
122
11
0
19 May 2024
The Future of Large Language Model Pre-training is Federated
The Future of Large Language Model Pre-training is Federated
Lorenzo Sani
Alexandru Iacob
Zeyu Cao
Bill Marino
Yan Gao
...
Wanru Zhao
William F. Shen
Preslav Aleksandrov
Xinchi Qiu
Nicholas D. Lane
AI4CE
438
37
0
17 May 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting
  in Serial Federated Learning
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning
Haoyue Song
Jiacheng Wang
Liansheng Wang
181
1
0
17 May 2024
Distributed Event-Based Learning via ADMM
Distributed Event-Based Learning via ADMM
Güner Dilsad Er
Sebastian Trimpe
Michael Muehlebach
FedML
397
3
0
17 May 2024
Balancing Similarity and Complementarity for Federated Learning
Balancing Similarity and Complementarity for Federated LearningInternational Conference on Machine Learning (ICML), 2024
Kunda Yan
Sen Cui
Abudukelimu Wuerkaixi
Jingfeng Zhang
Bo Han
Gang Niu
Masashi Sugiyama
Changshui Zhang
FedML
170
10
0
16 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency,
  Robustness and Privacy
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and PrivacyIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2024
Feng Wang
M. C. Gursoy
Senem Velipasalar
252
3
0
15 May 2024
SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning
SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning
Riyasat Ohib
Bishal Thapaliya
Gintare Karolina Dziugaite
Jingyu Liu
Vince D. Calhoun
Sergey Plis
FedML
216
1
0
15 May 2024
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
Yuning Yang
H. Yu
Tianrun Gao
Tianrun Gao
Xiaohong Liu
Xiaodong Xu
Ping Zhang
Guangyu Wang
280
6
0
15 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards
  Biomedical Healthcare
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li
Lu Peng
Yuping Wang
Weihua Zhang
AI4CEMedImLM&MA
341
30
0
10 May 2024
Federated Document Visual Question Answering: A Pilot Study
Federated Document Visual Question Answering: A Pilot Study
Khanh Nguyen
Dimosthenis Karatzas
FedML
314
0
0
10 May 2024
Compressed Bayesian Federated Learning for Reliable Passive Radio
  Sensing in Industrial IoT
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoTConference on Algebraic Informatics (CAI), 2024
Luca Barbieri
S. Savazzi
M. Nicoli
276
1
0
09 May 2024
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health
  Systems
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health SystemsFuture generations computer systems (FGCS), 2024
Amin Aminifar
Matin Shokri
Amir Aminifar
FedML
213
46
0
09 May 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
Jiarong Yang
Yuan Liu
FedML
255
3
0
08 May 2024
Fast Decentralized Gradient Tracking for Federated Minimax Optimization
  with Local Updates
Fast Decentralized Gradient Tracking for Federated Minimax Optimization with Local Updates
Chris Junchi Li
230
0
0
07 May 2024
FedStale: leveraging stale client updates in federated learning
FedStale: leveraging stale client updates in federated learning
Angelo Rodio
Giovanni Neglia
FedML
231
8
0
07 May 2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized
  Inference
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
Conor Hassan
Matthew Sutton
Antonietta Mira
Kerrie Mengersen
FedML
190
1
0
07 May 2024
Communication-Efficient Federated Learning with Adaptive Compression
  under Dynamic Bandwidth
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth
Zhuansun Ying
Dandan Li
Xiaohong Huang
Caijun Sun
FedML
228
4
0
06 May 2024
Differentially Private Federated Learning without Noise Addition: When
  is it Possible?
Differentially Private Federated Learning without Noise Addition: When is it Possible?
Jiang Zhang
Konstantinos Psounis
FedML
412
0
0
06 May 2024
Understanding Server-Assisted Federated Learning in the Presence of
  Incomplete Client Participation
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client ParticipationInternational Conference on Machine Learning (ICML), 2024
Haibo Yang
Pei-Yuan Qiu
Prashant Khanduri
Minghong Fang
Jia Liu
FedML
243
5
0
04 May 2024
A Survey on Contribution Evaluation in Vertical Federated Learning
A Survey on Contribution Evaluation in Vertical Federated Learning
Yue Cui
Chung-ju Huang
Yuzhu Zhang
Leye Wang
Lixin Fan
Xiaofang Zhou
Qiang Yang
FedML
278
9
0
03 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for
  Federated Learning
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning
Yanli Li
Jehad Ibrahim
Huaming Chen
Dong Yuan
Kim-Kwang Raymond Choo
269
1
0
03 May 2024
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with
  Diffusion Models
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Matías Mendieta
Guangyu Sun
Chong Chen
160
6
0
02 May 2024
Causal Influence in Federated Edge Inference
Causal Influence in Federated Edge InferenceIEEE Transactions on Signal Processing (IEEE TSP), 2024
Mert Kayaalp
Yunus Inan
V. Koivunen
Ali H. Sayed
FedML
181
2
0
02 May 2024
Federated Learning with Heterogeneous Data Handling for Robust Vehicular
  Object Detection
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection
Ahmad Khalil
Tizian Dege
Pegah Golchin
Rostyslav Olshevskyi
Antonio Fernández Anta
Tobias Meuser
FedML
156
6
0
02 May 2024
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under
  Streaming Differential Privacy
Improved Communication-Privacy Trade-offs in L2L_2L2​ Mean Estimation under Streaming Differential Privacy
Wei-Ning Chen
Berivan Isik
Peter Kairouz
Albert No
Sewoong Oh
Zheng Xu
320
3
0
02 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
Xavier Martínez Luana
Rebeca P. Díaz Redondo
Manuel Fernández-Veiga
FedML
463
2
0
02 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking
Robust Decentralized Learning with Local Updates and Gradient Tracking
Sajjad Ghiasvand
Amirhossein Reisizadeh
Mahnoosh Alizadeh
Ramtin Pedarsani
433
9
0
02 May 2024
Communication-Efficient Training Workload Balancing for Decentralized
  Multi-Agent Learning
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
Seyed Mahmoud Sajjadi Mohammadabadi
Lei Yang
Feng Yan
Junshan Zhang
212
16
0
01 May 2024
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