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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
Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning
Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning
Zhe Li
Bicheng Ying
Zidong Liu
Chaosheng Dong
Haibo Yang
FedML
242
0
0
03 Jun 2025
Federated Gaussian Mixture Models
Federated Gaussian Mixture Models
Sophia Zhang Pettersson
Kuo-Yun Liang
J. C. Andresen
FedML
186
2
0
02 Jun 2025
Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Zenghao Guan
Guojun Zhu
Yucan Zhou
Wu Liu
Weiping Wang
Jiebo Luo
Xiaoyan Gu
265
0
0
02 Jun 2025
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
Ofri Eisen
Ron Dorfman
Kfir Y. Levy
180
0
0
01 Jun 2025
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
Divyansh Jhunjhunwala
Arian Raje
Madan Ravi Ganesh
Chaithanya Kumar Mummadi
Chaoqun Dong
Jiawei Zhou
Wan-Yi Lin
Gauri Joshi
Zhenzhen Li
295
0
0
01 Jun 2025
ByzFL: Research Framework for Robust Federated Learning
ByzFL: Research Framework for Robust Federated Learning
Marc González
R. Guerraoui
Rafael Pinot
Geovani Rizk
John Stephan
François Taïani
FedML
178
0
0
30 May 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model
An Empirical Study of Federated Prompt Learning for Vision Language ModelInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhihao Wang
Wenke Huang
Tian Chen
Zekun Shi
Guancheng Wan
Yu Qiao
Bin Yang
Jian Wang
Bing Li
Mang Ye
FedMLVLM
259
1
0
29 May 2025
Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning
Hongyao Chen
Tianyang Xu
Xiaojun Wu
Josef Kittler
FedML
236
0
0
28 May 2025
DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models
DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models
Alex Iacob
Lorenzo Sani
M. Safaryan
Paris Giampouras
Samuel Horváth
...
Meghdad Kurmanji
Preslav Aleksandrov
William F. Shen
Xinchi Qiu
Nicholas D. Lane
OffRL
468
1
0
28 May 2025
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries
Abhijit Talluri
144
0
0
27 May 2025
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
Jianmin Liu
Li Yan
Borui Li
Lei Yu
Chao Shen
267
1
0
27 May 2025
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
Mengmeng Chen
Xiaohu Wu
Qiqi Liu
Tiantian He
Yew-Soon Ong
Yaochu Jin
Qicheng Lao
Han Yu
203
1
0
27 May 2025
Learnable Kernel Density Estimation for Graphs
Learnable Kernel Density Estimation for Graphs
Xudong Wang
Ziheng Sun
Chris Ding
Jicong Fan
422
0
0
27 May 2025
Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2
Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2
Md. Zahid Hossain
Mustofa Ahmed
Most. Sharmin Sultana Samu
Md. Rakibul Islam
MedIm
201
1
0
27 May 2025
Fairness in Federated Learning: Fairness for Whom?
Fairness in Federated Learning: Fairness for Whom?
Afaf Taik
Khaoula Chehbouni
G. Farnadi
FedML
193
1
0
27 May 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
Yuanzhe Peng
Jieming Bian
Lei Wang
Yin Huang
Jie Xu
207
1
0
27 May 2025
Federated Instrumental Variable Analysis via Federated Generalized Method of Moments
Federated Instrumental Variable Analysis via Federated Generalized Method of Moments
Geetika
Somya Tyagi
Bapi Chatterjee
FedML
201
0
0
27 May 2025
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
A. Koskela
Tejas D. Kulkarni
260
1
0
26 May 2025
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2025
Kai Li
Conggai Li
Xin Yuan
Shenghong Li
Sai Zou
...
W. Ni
Dusit Niyato
Abbas Jamalipour
Falko Dressler
Ozgur B. Akan
AI4CE
168
9
0
26 May 2025
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
Abhijit Chunduru
Majid Morafah
Mahdi Morafah
Vishnu Pandi Chellapandi
Ang Li
FedML
372
0
0
26 May 2025
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
Sajid Hussain
Muhammad Sohail
Nauman Ali Khan
FedML
153
1
0
26 May 2025
One-shot Robust Federated Learning of Independent Component Analysis
One-shot Robust Federated Learning of Independent Component Analysis
Dian Jin
Xin Bing
Yuqian Zhang
FedML
311
0
0
26 May 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments
Junming Liu
Yanting Gao
Siyuan Meng
Yifei Sun
Aoqi Wu
Yufei Jin
Yirong Chen
Botian Shi
Guosun Zeng
257
2
0
26 May 2025
Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare
Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare
Natallia Kokash
Lei Wang
Thomas H. Gillespie
Adam Belloum
Paola Grosso
Sara Quinney
Lang Li
Bernard de Bono
195
6
0
26 May 2025
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
Huan Wang
Haoran Li
H. Chen
Jun Yan
Lijuan Wang
Jiahua Shi
Shiping Chen
Jun Shen
FedML
222
0
0
25 May 2025
Federated Retrieval-Augmented Generation: A Systematic Mapping Study
Federated Retrieval-Augmented Generation: A Systematic Mapping Study
Abhijit Chakraborty
Chahana Dahal
Vivek Gupta
378
3
0
24 May 2025
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
Khellaf Rémi
Bellet Aurélien
Josse Julie
FedML
269
1
0
23 May 2025
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review
Beyazit Bestami Yuksel
Ayse Yilmazer Metin
54
0
0
22 May 2025
Distributionally Robust Federated Learning with Client Drift Minimization
Distributionally Robust Federated Learning with Client Drift Minimization
Mounssif Krouka
Chaouki Ben Issaid
Mehdi Bennis
OODFedML
195
0
0
21 May 2025
Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions
Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions
Hossein Zakerinia
Jonathan Scott
Christoph H. Lampert
FedML
252
0
0
21 May 2025
Layer-wise Quantization for Quantized Optimistic Dual Averaging
Layer-wise Quantization for Quantized Optimistic Dual Averaging
Anh Duc Nguyen
Ilia Markov
Frank Zhengqing Wu
Ali Ramezani-Kebrya
Kimon Antonakopoulos
Dan Alistarh
Volkan Cevher
MQ
255
1
0
20 May 2025
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
Abdullah Al Omar
Xin Yang
Euijin Choo
Omid Ardakanian
176
0
0
20 May 2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling
RIFLES: Resource-effIcient Federated LEarning via Scheduling
Sara Alosaime
Arshad Jhumka
FedML
189
0
0
19 May 2025
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
Sara Alosaime
Arshad Jhumka
157
0
0
19 May 2025
Advancing Software Quality: A Standards-Focused Review of LLM-Based Assurance Techniques
Advancing Software Quality: A Standards-Focused Review of LLM-Based Assurance Techniques
Avinash Patil
339
3
0
19 May 2025
$γ$-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning
γγγ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated LearningIEEE Conference on Computer Communications (IEEE INFOCOM), 2025
Rongwei Lu
Yutong Jiang
Jinrui Zhang
Chunyang Li
Yifei Zhu
Bin Chen
Zhi Wang
FedML
344
2
0
18 May 2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
Drashthi Doshi
Aditya Vema Reddy Kesari
Avishek Ghosh
Avishek Ghosh
Suhas S Kowshik
FedML
431
0
0
17 May 2025
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Tsutahiro Fukuhara
Junya Hara
Hiroshi Higashi
Yuichi Tanaka
FedML
265
0
0
16 May 2025
FedDuA: Doubly Adaptive Federated Learning
FedDuA: Doubly Adaptive Federated Learning
Shokichi Takakura
Seng Pei Liew
Satoshi Hasegawa
FedML
264
0
0
16 May 2025
Topology-Aware Knowledge Propagation in Decentralized Learning
Topology-Aware Knowledge Propagation in Decentralized Learning
Mansi Sakarvadia
Nathaniel Hudson
Tian Li
Ian Foster
Kyle Chard
238
0
0
16 May 2025
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
Chongyang Tan
Ruoqi Wen
Rongpeng Li
Zhifeng Zhao
Ekram Hossain
Honggang Zhang
355
1
0
16 May 2025
Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio
Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio
Tu Duyen Nguyen
Adrien Lesage
Clotilde Cantini
Rachid Riad
285
0
0
15 May 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Wujun Zhou
Shu Ding
Hao Sun
Wei Wang
FedML
289
0
0
15 May 2025
Sybil-based Virtual Data Poisoning Attacks in Federated Learning
Sybil-based Virtual Data Poisoning Attacks in Federated Learning
Changxun Zhu
Qilong Wu
Lingjuan Lyu
Shibei Xue
AAMLFedML
331
0
0
15 May 2025
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential FeaturesEducational Data Mining (EDM), 2025
Shunsuke Yoneda
Valdemar Švábenský
Gen Li
Daisuke Deguchi
Atsushi Shimada
326
1
0
14 May 2025
Energy-Efficient Federated Learning for AIoT using Clustering Methods
Energy-Efficient Federated Learning for AIoT using Clustering MethodsIEEE Internet of Things Journal (IEEE IoT J.), 2025
Roberto Pereira
Fernanda Famá
Charalampos Kalalas
Paolo Dini
204
0
0
14 May 2025
Multi-Layer Hierarchical Federated Learning with Quantization
Multi-Layer Hierarchical Federated Learning with Quantization
Seyed Mohammad Azimi-Abarghouyi
Carlo Fischione
FedML
254
0
0
13 May 2025
Bant: Byzantine Antidote via Trial Function and Trust Scores
Bant: Byzantine Antidote via Trial Function and Trust Scores
Gleb Molodtsov
Daniil Medyakov
Sergey Skorik
Nikolas Khachaturov
Shahane Tigranyan
Vladimir Aletov
A. Avetisyan
Martin Takáč
Aleksandr Beznosikov
AAML
599
1
0
12 May 2025
Sharp Gaussian approximations for Decentralized Federated Learning
Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee
Sayar Karmakar
Wei Biao Wu
FedML
315
0
0
12 May 2025
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Renzhe Xu
Jen-tse Huang
Bo Li
331
2
0
12 May 2025
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