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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
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
332
2
0
12 May 2025
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
Samaneh Mohammadi
Iraklis Symeonidis
Ali Balador
Francesco Flammini
FedML
139
2
0
11 May 2025
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum SecurityIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Yiwei Zhang
R. Behnia
A. Yavuz
Reza Ebrahimi
E. Bertino
FedML
254
1
0
09 May 2025
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan
Yuhang Hao
Weisi Guo
Yun Wu
Chongyan Gu
AAMLFedML
133
0
0
09 May 2025
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Federated Deconfounding and Debiasing Learning for Out-of-Distribution GeneralizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
FedMLCML
1.1K
3
0
08 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
435
1
0
05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
Incentivizing Inclusive Contributions in Model Sharing MarketsNature Communications (Nat Commun), 2025
Enpei Zhang
Jingyi Chai
Guangyi Liu
Yanfeng Wang
Siheng Chen
TDIFedML
915
3
0
05 May 2025
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Christian Schroeder de Witt
AAMLAI4CE
1.1K
33
0
04 May 2025
A Survey on Privacy Risks and Protection in Large Language Models
A Survey on Privacy Risks and Protection in Large Language ModelsJournal of King Saud University: Computer and Information Sciences (J. King Saud Univ. Comput. Inf. Sci.), 2025
Kang Chen
Xiuze Zhou
Yuanguo Lin
Shibo Feng
Li Shen
Pengcheng Wu
AILawPILM
1.2K
16
0
04 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
402
5
0
03 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Zhengyi Zhong
Weidong Bao
Ji Wang
Jianguo Chen
Lingjuan Lyu
Wei Yang Bryan Lim
CLL
414
4
0
01 May 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees
Mohammad Vahid Jamali
Hamid Saber
J. Bae
FedML
343
0
0
30 Apr 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning
Zhiyong Jin
Runhua Xu
Chong Li
Yunxing Liu
Jianxin Li
J. Joshi
AAMLFedML
578
0
0
30 Apr 2025
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning
Clustering-Based Evolutionary Federated Multiobjective Optimization and LearningInternational Conference on Intelligent Computing (ICIC), 2025
Chengui Xiao
Songbai Liu
FedML
245
0
0
29 Apr 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding
Federated One-Shot Learning with Data Privacy and Objective-HidingIEEE Transactions on Information Forensics and Security (TIFS), 2025
Maximilian Egger
Rüdiger Urbanke
Rawad Bitar
FedML
228
1
0
29 Apr 2025
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models
Mainak Singha
Subhankar Roy
Sarthak Mehrotra
Ankit Jha
Moloud Abdar
Biplab Banerjee
Elisa Ricci
VLMVPVLM
594
2
0
29 Apr 2025
Federated learning, ethics, and the double black box problem in medical AI
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
303
2
0
29 Apr 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
Shunxin Guo
Jiaqi Lv
Xin Geng
274
0
0
27 Apr 2025
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive CorrectionIEEE International Conference on Distributed Computing Systems (ICDCS), 2025
Weijie Liu
Ziwei Zhan
Carlee Joe-Wong
Edith Ngai
Jingpu Duan
Deke Guo
Xu Chen
Xinsong Zhang
FedML
389
1
0
24 Apr 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
Edward Collins
FedML
484
13
0
24 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Yang Liu
Bingjie Yan
Tianyuan Zou
Jianqing Zhang
Zixuan Gu
...
Jiajian Li
Xiaozhou Ye
Ye Ouyang
Qiang Yang
Yanzhe Zhang
ALM
1.0K
3
0
24 Apr 2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based ApproachIEEE International Conference on Data Engineering (ICDE), 2025
Shuyue Wei
Yongxin Tong
Zimu Zhou
Tianran He
Yi Xu
FedML
255
0
0
23 Apr 2025
POPri: Private Federated Learning using Preference-Optimized Synthetic Data
POPri: Private Federated Learning using Preference-Optimized Synthetic Data
Charlie Hou
Mei-Yu Wang
Yige Zhu
Daniel Lazar
Giulia Fanti
FedML
529
7
0
23 Apr 2025
Circinus: Efficient Query Planner for Compound ML Serving
Circinus: Efficient Query Planner for Compound ML Serving
Banruo Liu
Wei-Yu Lin
Minghao Fang
Yihan Jiang
Fan Lai
LRM
227
1
0
23 Apr 2025
Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity
Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute ComplexityInternational Conference on Wireless Communications and Mobile Computing (IWCMC), 2025
Abdul Hannaan
Zubair Shah
A. Erbad
Amr M. Mohamed
Ali Safa
FedMLObjD
136
0
0
23 Apr 2025
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
Alycia N. Carey
Xintao Wu
FedML
277
0
0
22 Apr 2025
CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters
CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted RequestersIEEE Conference on Computer Communications (IEEE INFOCOM), 2025
Xiang Liu
Hau Chan
Minming Li
Xianlong Zeng
Chenchen Fu
Weiwei Wu
FedML
233
1
0
22 Apr 2025
LLMs meet Federated Learning for Scalable and Secure IoT Management
LLMs meet Federated Learning for Scalable and Secure IoT Management
Yazan Otoum
Arghavan Asad
Amiya Nayak
284
8
0
22 Apr 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
FedFetch: Faster Federated Learning with Adaptive Downstream PrefetchingIEEE Conference on Computer Communications (IEEE INFOCOM), 2025
Qifan Yan
Andrew Liu
Shiqi He
Mathias Lécuyer
Ivan Beschastnikh
FedML
444
2
0
21 Apr 2025
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
Hao Mark Chen
Zehuan Zhang
Wanru Zhao
Nicholas D. Lane
Hongxiang Fan
252
0
0
21 Apr 2025
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
Namrata Vaswani
191
0
0
20 Apr 2025
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
Phung Lai
Xiaopeng Jiang
Hai Phan
Cristian Borcea
K. Tran
An M. Chen
Vijaya Datta Mayyuri
Ruoming Jin
FedMLMQ
404
2
0
17 Apr 2025
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Yuan Zhou
Xinli Shi
Xuelong Li
Jiachen Zhong
G. Wen
Jinde Cao
FedML
353
2
0
17 Apr 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated LearningIEEE International Conference on Distributed Computing Systems (ICDCS), 2025
Phung Lai
Guanxiong Liu
Hai Phan
Issa M. Khalil
Abdallah Khreishah
Xintao Wu
FedML
307
1
0
17 Apr 2025
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge NetworksInternational Conference on Computer Communications and Networks (ICCCN), 2025
Tingyang Sun
Tuan Nguyen
Ting He
460
0
0
16 Apr 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous DataIEEE Transactions on Signal Processing (IEEE TSP), 2025
Yuan Zhou
Jiachen Zhong
Xinli Shi
G. Wen
Xinghuo Yu
FedML
395
0
0
16 Apr 2025
Benchmarking Mutual Information-based Loss Functions in Federated Learning
Benchmarking Mutual Information-based Loss Functions in Federated Learning
Sarang S
Harsh D. Chothani
Qilei Li
A. Abdelmoniem
Arnab K. Paul
FedML
217
1
0
16 Apr 2025
FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection
FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection
Gergely Németh
Eros Fani
Yeat Jeng Ng
Barbara Caputo
M. Lozano
Nuria Oliver
Novi Quadrianto
FedML
257
0
0
15 Apr 2025
Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance
Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance
Shixuan Liu
Zhenzhe Zheng
Xiaoyao Huang
Fan Wu
Guihai Chen
Jie Wu
329
1
0
15 Apr 2025
FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption
FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption
Yang Li
Chunhe Xia
Chang Li
Xiaochen Li
Tianfu Wang
FedML
91
1
0
15 Apr 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation
Shokichi Takakura
Seng Pei Liew
Satoshi Hasegawa
FedML
336
1
0
14 Apr 2025
FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding
FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding
Yasar Abbas Ur Rehman
Kin Wai Lau
Yuyang Xie
Ma Lan
Jiajun Shen
331
0
0
13 Apr 2025
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
Mahshad Lotfinia
Arash Tayebiarasteh
Samaneh Samiei
Mehdi Joodaki
Soroosh Tayebi Arasteh
336
0
0
11 Apr 2025
The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
Eleanor Wallach
Sage Siler
Jing Deng
FedML
165
0
0
11 Apr 2025
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients
Alessio Mora
Carlo Mazzocca
R. Montanari
Paolo Bellavista
MU
280
0
0
08 Apr 2025
SparsyFed: Sparse Adaptive Federated Training
SparsyFed: Sparse Adaptive Federated Training
Adriano Guastella
Lorenzo Sani
Alex Iacob
Alessio Mora
Paolo Bellavista
Nicholas D. Lane
FedML
411
0
0
07 Apr 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
Zhekai Zhou
Guibo Luo
Mingzhi Chen
Zhenyu Weng
Yuesheng Zhu
FedML
334
9
0
07 Apr 2025
The challenge of uncertainty quantification of large language models in medicine
The challenge of uncertainty quantification of large language models in medicine
Zahra Atf
Seyed Amir Ahmad Safavi-Naini
Peter Lewis
Aref Mahjoubfar
Nariman Naderi
Thomas Savage
Ali Soroush
224
18
0
07 Apr 2025
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs
Afsaneh Mahanipour
Hana Khamfroush
FedML
156
0
0
07 Apr 2025
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
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