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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
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Papers citing "Advances and Open Problems in Federated Learning"

50 / 2,962 papers shown
Promoting Data and Model Privacy in Federated Learning through Quantized
  LoRA
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
Jianhao Zhu
Changze Lv
Xiaohua Wang
Muling Wu
Tianlong Li
Changze Lv
Zixuan Ling
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
282
10
0
16 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New
  Balances and New Perspectives
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
Linlin Wang
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
235
3
0
16 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting
  Challenges and New Solutions
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
Laiqiao Qin
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
226
17
0
16 Jun 2024
Federated Learning Optimization: A Comparative Study of Data and Model
  Exchange Strategies in Dynamic Networks
Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networks
Alka Luqman
Yeow Wei Liang Brandon
Anupam Chattopadhyay
180
1
0
16 Jun 2024
Emerging Safety Attack and Defense in Federated Instruction Tuning of
  Large Language Models
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Rui Ye
Jingyi Chai
Xiangrui Liu
Yaodong Yang
Yanfeng Wang
Siheng Chen
AAML
353
18
0
15 Jun 2024
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive
  Clustered Data Sharing Approach
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024
Gang Hu
Yinglei Teng
Nan Wang
Zhu Han
FedML
205
5
0
14 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated
  Learning
Privacy-preserving Quantification of Non-IID Degree in Federated Learning
Yuping Yan
Yizhi Wang
Yingchao Yu
Yaochu Jin
FedML
195
1
0
14 Jun 2024
EncCluster: Scalable Functional Encryption in Federated Learning through
  Weight Clustering and Probabilistic Filters
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters
Vasileios Tsouvalas
Samaneh Mohammadi
Ali Balador
T. Ozcelebi
Francesco Flammini
N. Meratnia
FedML
189
2
0
13 Jun 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With
  Heterogeneous Data
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
Jiaojiao Zhang
Jiang Hu
Anthony Man-Cho So
Mikael Johansson
187
5
0
12 Jun 2024
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered
  by Artificial Intelligence Generated Content
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
Guangjing Huang
Qiong Wu
Jingyi Li
Xu Chen
FedML
238
16
0
12 Jun 2024
Class-Wise Federated Averaging for Efficient Personalization
Class-Wise Federated Averaging for Efficient Personalization
Gyuejeong Lee
Daeyoung Choi
330
0
0
12 Jun 2024
Sustainable self-supervised learning for speech representations
Sustainable self-supervised learning for speech representations
Luis Lugo
Valentin Vielzeuf
266
3
0
11 Jun 2024
Scholarly Question Answering using Large Language Models in the
  NFDI4DataScience Gateway
Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway
Hamed Babaei Giglou
Tilahun Abedissa Taffa
Rana Abdullah
Aida Usmanova
Ricardo Usbeck
Jennifer D'Souza
Sören Auer
RALM
153
4
0
11 Jun 2024
Decentralized Personalized Federated Learning
Decentralized Personalized Federated Learning
Salma Kharrat
Marco Canini
Samuel Horváth
FedML
286
2
0
10 Jun 2024
Federated learning in food research
Federated learning in food research
Zuzanna Fendor
Bas H. M. van der Velden
Xinxin Wang
Andrea Jr. Carnoli
Osman Mutlu
Ali Hürriyetoğlu
FedML
156
4
0
10 Jun 2024
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning
  Algorithm
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
Ahmed Elbakary
Chaouki Ben Issaid
Mohammad Shehab
Karim G. Seddik
Tamer A. ElBatt
Mehdi Bennis
248
4
0
10 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
265
28
0
08 Jun 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large
  Language Models
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Guangyi Liu
Rui Ge
Xinyu Zhu
Jingyi Chai
Yaxin Du
Yang Liu
Yanfeng Wang
Siheng Chen
FedML
269
25
0
07 Jun 2024
Federated Representation Learning in the Under-Parameterized Regime
Federated Representation Learning in the Under-Parameterized RegimeInternational Conference on Machine Learning (ICML), 2024
Renpu Liu
Cong Shen
Jing Yang
352
9
0
07 Jun 2024
Privacy Preserving Semi-Decentralized Mean Estimation over
  Intermittently-Connected Networks
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks
R. Saha
Mohamed Seif
M. Yemini
Andrea J. Goldsmith
H. Vincent Poor
FedML
212
5
0
06 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection
  in Internet of Vehicles
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
Cyprien Quéméneur
Soumaya Cherkaoui
320
12
0
05 Jun 2024
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
William Boitier
Antonella del Pozzo
Álvaro García-Pérez
Stephane Gazut
Pierre Jobic
...
Aurélien Mayoue
Maxence Perion
T. F. Rezende
Deepika Singh
Sara Tucci-Piergiovanni
166
9
0
05 Jun 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated
  Learning
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning
Kun Wang
Yi-Rui Yang
Wu-Jun Li
168
2
0
05 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and
  Challenges
Towards Federated Domain Unlearning: Verification Methodologies and Challenges
Kahou Tam
Kewei Xu
Li Li
Huazhu Fu
MU
222
1
0
05 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age
  of LLMs
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Charlie Hou
Akshat Shrivastava
Hongyuan Zhan
Rylan Conway
Trang Le
Adithya Sagar
Giulia Fanti
Daniel Lazar
286
25
0
05 Jun 2024
Improved Modelling of Federated Datasets using
  Mixtures-of-Dirichlet-Multinomials
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
Jonathan Scott
Áine Cahill
FedML
227
1
0
04 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang
Zhen Lin
Jimeng Sun
Cao Xiao
Yue Liu
FedML
360
5
0
04 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form
  Classifiers
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
Eros Fani
Raffaello Camoriano
Barbara Caputo
Marco Ciccone
266
8
0
03 Jun 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in
  Cross-Device Federated Learning
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
Kai Yi
Timur Kharisov
Igor Sokolov
Peter Richtárik
FedML
289
2
0
03 Jun 2024
Local Methods with Adaptivity via Scaling
Local Methods with Adaptivity via Scaling
Saveliy Chezhegov
Sergey Skorik
Nikolas Khachaturov
Danil Shalagin
A. Avetisyan
Aleksandr Beznosikov
Martin Takáč
Yaroslav Kholodov
Alexander Gasnikov
426
4
0
02 Jun 2024
Redefining Contributions: Shapley-Driven Federated Learning
Redefining Contributions: Shapley-Driven Federated Learning
Nurbek Tastan
Samar Fares
Toluwani Aremu
Samuel Horváth
Karthik Nandakumar
FedML
189
17
0
01 Jun 2024
FedAST: Federated Asynchronous Simultaneous Training
FedAST: Federated Asynchronous Simultaneous Training
Baris Askin
Pranay Sharma
Carlee Joe-Wong
Gauri Joshi
328
7
0
01 Jun 2024
Over-the-Air Collaborative Inference with Feature Differential Privacy
Over-the-Air Collaborative Inference with Feature Differential Privacy
Mohamed Seif
Yuqi Nie
Andrea J. Goldsmith
Vincent Poor
205
0
0
01 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
Yilin Zheng
A. Eryilmaz
FedML
236
0
0
31 May 2024
Communication-Efficient Distributed Deep Learning via Federated Dynamic
  Averaging
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
Michail Theologitis
Georgios Frangias
Georgios Anestis
V. Samoladas
Antonios Deligiannakis
FedML
440
2
0
31 May 2024
Sheaf HyperNetworks for Personalized Federated Learning
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lio
Nicholas D. Lane
238
4
0
31 May 2024
Pursuing Overall Welfare in Federated Learning through Sequential
  Decision Making
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
S. Hahn
Gi-Soo Kim
Junghye Lee
FedML
240
2
0
31 May 2024
Selective Knowledge Sharing for Personalized Federated Learning Under
  Capacity Heterogeneity
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
Zheng Wang
Zheng Wang
Zhaopeng Peng
Zihui Wang
Cheng-i Wang
FedML
178
0
0
31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the
  Communication Perspective
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
Khiem H. Le
Nhan Luong-Ha
Manh Nguyen-Duc
Danh Le-Phuoc
Cuong D. Do
Kok-Seng Wong
FedML
297
7
0
30 May 2024
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction
  for Non-convex Cross-Device Federated Learning
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning
Avetik G. Karagulyan
Egor Shulgin
Abdurakhmon Sadiev
Peter Richtárik
FedML
292
4
0
30 May 2024
Near Optimal Decentralized Optimization with Compression and Momentum
  Tracking
Near Optimal Decentralized Optimization with Compression and Momentum Tracking
Rustem Islamov
Yuan Gao
Sebastian U. Stich
230
0
0
30 May 2024
subMFL: Compatiple subModel Generation for Federated Learning in Device
  Heterogenous Environment
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment
Zeyneddin Oz
Ceylan Soygul Oz
A. Malekjafarian
Nima Afraz
Fatemeh Golpayegani
FedML
134
1
0
30 May 2024
On Vessel Location Forecasting and the Effect of Federated Learning
On Vessel Location Forecasting and the Effect of Federated Learning
A. Tritsarolis
N. Pelekis
K. Bereta
D. Zissis
Y. Theodoridis
FedML
174
4
0
30 May 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias
  in Federated Semi-Supervised Learning
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Guogang Zhu
Xuefeng Liu
Xinghao Wu
Shaojie Tang
Chao Tang
Jianwei Niu
Hao Su
FedML
344
3
0
30 May 2024
Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity
Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity
Zhuang Qi
Lei Meng
Ruohan Zhang
Yu Wang
Xin Qi
Xiangxu Meng
Xiangxu Meng
Qiang Yang
FedML
532
6
0
30 May 2024
Federated Learning under Partially Class-Disjoint Data via Manifold
  Reshaping
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
Ziqing Fan
Jiangchao Yao
Ruipeng Zhang
Lingjuan Lyu
Ya Zhang
Yanfeng Wang
FedML
269
5
0
29 May 2024
Federated Learning with Bilateral Curation for Partially Class-Disjoint
  Data
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
Ziqing Fan
Ruipeng Zhang
Jiangchao Yao
Bo Han
Ya Zhang
Yanfeng Wang
FedML
278
17
0
29 May 2024
Differentially Private Clustered Federated Learning
Differentially Private Clustered Federated Learning
Saber Malekmohammadi
Afaf Taik
G. Farnadi
FedML
343
2
0
29 May 2024
Universal Exact Compression of Differentially Private Mechanisms
Universal Exact Compression of Differentially Private Mechanisms
Yanxiao Liu
Wei-Ning Chen
Ayfer Özgür
Cheuk Ting Li
229
11
0
28 May 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in
  Federated Learning via Post-processing
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
Yuying Duan
Yijun Tian
Nitesh Chawla
Michael Lemmon
FedML
336
6
0
28 May 2024
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