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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 / 2,960 papers shown
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
Hengrui Hu
Anai N. Kothari
Anjishnu Banerjee
FedML
207
3
0
06 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Chaoyi Lu
Yiding Sun
Pengbo Li
Zhichuan Yang
FedML
350
3
0
05 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey
Tree-based Models for Vertical Federated Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2025
Bingchen Qian
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
280
3
0
03 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning
Approximate Agreement Algorithms for Byzantine Collaborative LearningACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2025
Tijana Milentijević
Mélanie Cambus
Darya Melnyk
Stefan Schmid
FedML
432
2
0
02 Apr 2025
Benchmarking Federated Machine Unlearning methods for Tabular Data
Benchmarking Federated Machine Unlearning methods for Tabular Data
Chenguang Xiao
Abhirup Ghosh
Han Wu
Shuo Wang
Diederick van Thiel
MU
168
0
0
01 Apr 2025
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Hyoungwook Jin
Yoonsu Kim
Dongyun Jung
Seungju Kim
Kiyoon Choi
J. Son
Juho Kim
LRM
345
11
0
01 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Yongqian Li
Bo Liu
Sheng Huang
Zhe Zhang
Xiaotong Yuan
Richang Hong
389
1
0
31 Mar 2025
LLM4FS: Leveraging Large Language Models for Feature Selection
LLM4FS: Leveraging Large Language Models for Feature Selection
Jianhao Li
Xianchao Xiu
311
3
0
31 Mar 2025
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning
Karlo Palenzuela
Ali Dadras
A. Yurtsever
Tommy Löfstedt
FedML
282
0
0
27 Mar 2025
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning
Kanishka Ranaweera
David B. Smith
P. Pathirana
Ming Ding
Thierry Rakotoarivelo
A. Seneviratne
FedML
239
0
0
27 Mar 2025
The Cost of Local and Global Fairness in Federated Learning
The Cost of Local and Global Fairness in Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Yuying Duan
Gelei Xu
Yiyu Shi
Michael Lemmon
FedML
411
1
0
27 Mar 2025
ProFed: a Benchmark for Proximity-based non-IID Federated Learning
ProFed: a Benchmark for Proximity-based non-IID Federated Learning
D. Domini
G. Aguzzi
Mirko Viroli
FedMLOOD
247
4
0
26 Mar 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
Haotian Yang
Liang Luo
Benson Chou
Sophie Xu
Hao Wang
Jingxian Wang
Qizhen Zhang
FedML
308
0
0
26 Mar 2025
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
Junyi Zhu
Ruicong Yao
Taha Ceritli
Savas Ozkan
Matthew B. Blaschko
Eunchung Noh
Jeongwon Min
Cho Jung Min
Mete Ozay
FedML
476
0
0
26 Mar 2025
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
Bicheng Ying
Zhe Li
Haibo Yang
FedML
439
0
0
25 Mar 2025
Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks
Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks
Zubair Shaban
Nazreen Shah
Ranjitha Prasad
285
0
0
25 Mar 2025
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation
Ziqiao Weng
Weidong (Tom) Cai
Bo Zhou
388
0
0
23 Mar 2025
A Thorough Assessment of the Non-IID Data Impact in Federated Learning
A Thorough Assessment of the Non-IID Data Impact in Federated Learning
Daniel Gutiérrez
Mehrdad Hassanzadeh
Aris Anagnostopoulos
I. Chatzigiannakis
A. Vitaletti
253
3
0
21 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client VectorsComputer Vision and Pattern Recognition (CVPR), 2025
Changlong Shi
He Zhao
Bingjie Zhang
Mingyuan Zhou
Dandan Guo
Yi Chang
357
5
0
20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
FedLWS: Federated Learning with Adaptive Layer-wise Weight ShrinkingInternational Conference on Learning Representations (ICLR), 2025
Changlong Shi
Jinmeng Li
He Zhao
D. Guo
Yi Chang
FedML
374
2
0
19 Mar 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini
Marco Savi
Giovanni Neglia
FedML
315
1
0
19 Mar 2025
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
Liang Luo
Bowei Tian
Sihan Chen
Yu Li
Zheyu Shen
Myungjin Lee
Ang Li
247
2
0
19 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
Haoyu Lei
Shizhan Gong
Qi Dou
Farzan Farnia
FedML
321
2
0
19 Mar 2025
UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework
UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework
Yang Li
Soumya Snigdha Kundu
Maxence Boels
Toktam Mahmoodi
Sebastien Ourselin
Tom Vercauteren
Prokar Dasgupta
J. Shapey
Alejandro Granados
FedML
158
1
0
19 Mar 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
Ori Peleg
Natalie Lang
Stefano Rini
Stefano Rini
Nir Shlezinger
Kobi Cohen
FedML
416
0
0
17 Mar 2025
Federated Learning with Domain Shift Eraser
Federated Learning with Domain Shift EraserComputer Vision and Pattern Recognition (CVPR), 2025
Xiping Hu
Zihui Wang
Liang Luo
Xiaoliang Fan
Cheng-Yu Wang
FedML
358
6
0
17 Mar 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
Kasra Borazjani
Payam Abdisarabshali
Naji Khosravan
Seyyedali Hosseinalipour
FedML
263
7
0
17 Mar 2025
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing
Martino Chiarani
Swastika Roy
C. Verikoukis
Fabrizio Granelli
290
2
0
16 Mar 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs
Bowen Tan
Zheng Xu
Eric P. Xing
Zhiting Hu
Shanshan Wu
SyDa
399
9
0
16 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
Binghui Zhang
Luis Mares De La Cruz
Binghui Wang
FedML
175
1
0
15 Mar 2025
Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning
Reza Mirzaeifard
Stefan Werner
FedML
192
0
0
13 Mar 2025
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
Zachary B. Charles
Gabriel Teston
Lucio Dery
Keith Rush
Nova Fallen
Zachary Garrett
Arthur Szlam
Arthur Douillard
909
12
0
12 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
S. Saif
Md Jahirul Islam
Md. Zihad Bin Jahangir
Parag Biswas
Abdur Rashid
Md Abdullah Al Nasim
Kishor Datta Gupta
181
4
0
12 Mar 2025
Accelerated Distributed Optimization with Compression and Error Feedback
Accelerated Distributed Optimization with Compression and Error Feedback
Yuan Gao
Anton Rodomanov
Jeremy Rack
Sebastian U. Stich
343
2
0
11 Mar 2025
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
Debabrota Basu
Debarshi Chanda
313
0
0
10 Mar 2025
Capture Global Feature Statistics for One-Shot Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
Zenghao Guan
Yucan Zhou
Xiaoyan Gu
FedML
309
7
0
10 Mar 2025
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model
Shihao Hou
Xinyi Shang
Shreyank N Gowda
Yang Lu
Chao-Xiang Wu
Yan Yan
Hanzi Wang
VLM
284
0
0
10 Mar 2025
Uncertainty-Aware Explainable Federated Learning
Yanci Zhang
Han Yu
222
3
0
07 Mar 2025
Universality of Layer-Level Entropy-Weighted Quantization Beyond Model Architecture and Size
Alireza Behtash
Marijan Fofonjka
Ethan Baird
Tyler Mauer
Hossein Moghimifam
David Stout
Joel Dennison
MQ
437
3
0
06 Mar 2025
One-Shot Clustering for Federated Learning
One-Shot Clustering for Federated LearningBigData Congress [Services Society] (BSS), 2024
Maciej Krzysztof Zuziak
Roberto Pellungrini
Salvatore Rinzivillo
FedML
456
0
0
06 Mar 2025
Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11
Sheikh Moonwara Anjum Monisha
Ratun Rahman
FedMLOOD
139
2
0
06 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity AnalysisIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Xinming Zhang
Xiaoyong Xue
Xiaoning Du
Xiaofei Xie
Wenshu Fan
Meng Sun
FedMLAAML
245
1
0
06 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
Changchang Yin
Hong-You Chen
Wei-Lun Chao
Ping Zhang
CML
221
1
0
06 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learningIEEE Journal on Selected Areas in Information Theory (JSAIT), 2025
Shahrzad Kiani
Franziska Boenisch
S. Draper
FedML
283
0
0
06 Mar 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Xiang Zhang
Zhou Li
Kai Wan
Hua Sun
Mingyue Ji
Giuseppe Caire
520
10
0
06 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework
Generalization in Federated Learning: A Conditional Mutual Information Framework
Ziqiao Wang
Cheng Long
Yongyi Mao
FedML
343
2
0
06 Mar 2025
Task-Agnostic Federation over Decentralized Data: Research Landscape and Visions
Task-Agnostic Federation over Decentralized Data: Research Landscape and Visions
Wentai Wu
Ligang He
Saiqin Long
Ahmed M. Abdelmoniem
Yingliang Wu
Rui Mao
Keqin Li
398
1
0
05 Mar 2025
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
Zhichao You
Xuewen Dong
Ke Cheng
Xutong Mu
Jiaxuan Fu
Shiyang Ma
Qiang Qu
Yulong Shen
FedML
251
0
0
05 Mar 2025
Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion
Gaurang Sharma
Elaheh Moradi
Juha Pajula
Mika Hilvo
Jussi Tohka
255
0
0
05 Mar 2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
Jie Hao
Yuman Wu
Ali Payani
Myungjin Lee
Mingrui Liu
328
3
0
05 Mar 2025
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