ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.04977
  4. Cited By
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
FedMef: Towards Memory-efficient Federated Dynamic Pruning
FedMef: Towards Memory-efficient Federated Dynamic Pruning
Hong Huang
Weiming Zhuang
Chen Chen
Lingjuan Lyu
205
16
0
21 Mar 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental
  Learning
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
Minh-Tuan Tran
Trung Le
Xuan-May Le
Mehrtash Harandi
Dinh Q. Phung
CLL
240
18
0
21 Mar 2024
Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
Cem Ata Baykara
Ali Burak Ünal
Mete Akgün
FedML
162
0
0
21 Mar 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced
  Images
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem
Akshat Dave
Abhishek Singh
Kushagra Tiwary
Praneeth Vepakomma
Ashok Veeraraghavan
Ramesh Raskar
296
3
0
19 Mar 2024
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness
  in IoT System
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Jianjun Huang
Lixin Ye
Li Kang
FedML
132
3
0
19 Mar 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
FedFisher: Leveraging Fisher Information for One-Shot Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Divyansh Jhunjhunwala
Shiqiang Wang
Gauri Joshi
FedML
209
20
0
19 Mar 2024
Improving LoRA in Privacy-preserving Federated Learning
Improving LoRA in Privacy-preserving Federated LearningInternational Conference on Learning Representations (ICLR), 2024
Youbang Sun
Zitao Li
Yaliang Li
Bolin Ding
379
126
0
18 Mar 2024
Efficient and Privacy-Preserving Federated Learning based on Full
  Homomorphic Encryption
Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
Yuqi Guo
Lin Li
Zhongxiang Zheng
Hanrui Yun
Ruoyan Zhang
Xiaolin Chang
Zhixuan Gao
FedML
162
6
0
18 Mar 2024
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning
Teppei Suzuki
234
17
0
18 Mar 2024
Federated Learning with Anomaly Detection via Gradient and
  Reconstruction Analysis
Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis
Zahir Alsulaimawi
195
4
0
15 Mar 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with
  Adversaries
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Swetha Ganesh
Jiayu Chen
Gugan Thoppe
Vaneet Aggarwal
FedML
303
5
0
15 Mar 2024
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
Kai Yi
Georg Meinhardt
Laurent Condat
Peter Richtárik
FedML
343
6
0
14 Mar 2024
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems
Ayoub Si-Ahmed
M. Al-garadi
Boustia Narhimene
332
12
0
14 Mar 2024
Decoupled Federated Learning on Long-Tailed and Non-IID data with
  Feature Statistics
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature StatisticsIEEE International Conference on Multimedia and Expo (ICME), 2024
Zhuoxin Chen
Zhenyu Wu
Yang Ji
FedML
103
3
0
13 Mar 2024
Efficient Language Model Architectures for Differentially Private
  Federated Learning
Efficient Language Model Architectures for Differentially Private Federated Learning
Jae Hun Ro
Srinadh Bhojanapalli
Zheng Xu
Yanxiang Zhang
A. Suresh
FedML
194
3
0
12 Mar 2024
History-Aware and Dynamic Client Contribution in Federated Learning
History-Aware and Dynamic Client Contribution in Federated Learning
Bishwamittra Ghosh
Debabrota Basu
Huazhu Fu
Wang Yuan
Renuga Kanagavelu
Jiang Jin Peng
Liu Yong
Goh Siow Mong Rick
Qingsong Wei
FedML
274
0
0
11 Mar 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated
  Learning
Fake or Compromised? Making Sense of Malicious Clients in Federated LearningEuropean Symposium on Research in Computer Security (ESORICS), 2024
Hamid Mozaffari
Sunav Choudhary
Amir Houmansadr
226
5
0
10 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges
Federated Learning: Attacks, Defenses, Opportunities, and ChallengesInternational Symposium on Telecommunications (IST), 2024
Ghazaleh Shirvani
Saeid Ghasemshirazi
Behzad Beigzadeh
FedML
301
7
0
10 Mar 2024
Federated Learning Method for Preserving Privacy in Face Recognition
  System
Federated Learning Method for Preserving Privacy in Face Recognition System
Enoch Solomon
Abraham Woubie
FedML
199
8
0
08 Mar 2024
Architectural Blueprint For Heterogeneity-Resilient Federated Learning
Architectural Blueprint For Heterogeneity-Resilient Federated Learning
Satwat Bashir
T. Dagiuklas
Kasra Kassai
Muddesar Iqbal
170
1
0
07 Mar 2024
Boosting Fairness and Robustness in Over-the-Air Federated Learning
Boosting Fairness and Robustness in Over-the-Air Federated Learning
Halil Yigit Oksuz
Fabio Molinari
Henning Sprekeler
Joerg Raisch
FedML
156
1
0
07 Mar 2024
HeteroSwitch: Characterizing and Taming System-Induced Data
  Heterogeneity in Federated Learning
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Gyudong Kim
Mehdi Ghasemi
Soroush Heidari
Seungryong Kim
Young Geun Kim
S. Vrudhula
Carole-Jean Wu
294
3
0
07 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of
  Negative Federated Learning
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
116
1
0
07 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat
Artavazd Maranjyan
Peter Richtárik
383
7
0
07 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Nan Yin
Senzhang Wang
Xinwang Liu
Philip S. Yu
Ming Zhang
AI4CE
350
75
0
07 Mar 2024
Rethinking Clustered Federated Learning in NOMA Enhanced Wireless
  Networks
Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks
Yushen Lin
Kaidi Wang
Zhiguo Ding
155
8
0
05 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive
  Models
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
Younghan Lee
Yungi Cho
Woorim Han
Ho Bae
Y. Paek
FedMLAAML
185
3
0
05 Mar 2024
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact
  and Exact Methods
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
Mou Wu
Haibin Liao
Zhengtao Ding
Yonggang Xiao
194
6
0
05 Mar 2024
Enhancing Data Provenance and Model Transparency in Federated Learning
  Systems -- A Database Approach
Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach
Michael Gu
Ramasoumya Naraparaju
Dongfang Zhao
FedML
189
1
0
03 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges,
  Methods and Applications
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
297
46
0
03 Mar 2024
Blockchain-empowered Federated Learning: Benefits, Challenges, and
  Solutions
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
Zeju Cai
Jianguo Chen
Yuting Fan
Zibin Zheng
Keqin Li
189
20
0
01 Mar 2024
On the Convergence of Federated Learning Algorithms without Data
  Similarity
On the Convergence of Federated Learning Algorithms without Data Similarity
Ali Beikmohammadi
Sarit Khirirat
Sindri Magnússon
FedML
314
5
0
29 Feb 2024
Federated Linear Contextual Bandits with Heterogeneous Clients
Federated Linear Contextual Bandits with Heterogeneous Clients
Ethan Blaser
Chuanhao Li
Hongning Wang
FedML
216
3
0
29 Feb 2024
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure
  Multi-Party Computation
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation
Mayar Elfares
Pascal Reisert
Zhiming Hu
Wenwu Tang
Ralf Küsters
Andreas Bulling
FedML
181
7
0
29 Feb 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
Tianyi Zhang
Yu Cao
Dianbo Liu
FedML
469
1
0
29 Feb 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of
  Federated Models
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Jinqian Chen
Jihua Zhu
Qinghai Zheng
Zhongyu Li
Zhiqiang Tian
FedML
222
3
0
26 Feb 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior
  Fine-Tune
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Mengen Luo
Chi Xu
E. Kuruoglu
FedML
317
1
0
25 Feb 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights
  from a Benchmark Study
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study
Natalija Mitic
Apostolos Pyrgelis
Sinem Sav
FedML
333
3
0
25 Feb 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble
  Co-Boosting
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
Rong Dai
Yonggang Zhang
Ang Li
Tongliang Liu
Xun Yang
Bo Han
FedML
247
30
0
23 Feb 2024
Efficient Unbiased Sparsification
Efficient Unbiased Sparsification
Leighton Barnes
Timothy Chow
Emma Cohen
Keith Frankston
Benjamin Howard
Fred Kochman
Daniel Scheinerman
Jeffrey VanderKam
OT
174
2
0
22 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang
Zhiqin Yang
Xinmei Tian
Nannan Wang
Tongliang Liu
Bo Han
FedML
260
7
0
22 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Yongcun Song
Ziqi Wang
Enrique Zuazua
FedML
277
9
0
21 Feb 2024
On the Conflict of Robustness and Learning in Collaborative Machine
  Learning
On the Conflict of Robustness and Learning in Collaborative Machine Learning
Mathilde Raynal
Carmela Troncoso
171
2
0
21 Feb 2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental
  Study
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study
Yuwen Yang
Yuxiang Lu
Wei Ji
Shalayiding Sirejiding
Hongtao Lu
Yue Ding
FedML
309
9
0
20 Feb 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and
  Local Updates
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
Youssef Allouah
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Geovani Rizk
S. Voitovych
FedML
261
13
0
20 Feb 2024
Federated Learning: A Stochastic Approximation Approach
Federated Learning: A Stochastic Approximation Approach
P. V. Srihari
Anik Kumar Paul
B. Bhikkaji
FedML
222
0
0
20 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
Kaan Ozkara
Bruce Huang
Ruida Zhou
Suhas Diggavi
594
1
0
19 Feb 2024
Federated Bayesian Network Ensembles
Federated Bayesian Network Ensembles
Florian Van Daalen
Lianne Ippel
Andre Dekker
Inigo Bermejo
152
1
0
19 Feb 2024
Achieving Linear Speedup in Asynchronous Federated Learning with
  Heterogeneous Clients
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients
Xiaolu Wang
Zijian Li
Shi Jin
Jun Zhang
FedML
332
7
0
17 Feb 2024
Materiality and Risk in the Age of Pervasive AI Sensors
Materiality and Risk in the Age of Pervasive AI Sensors
Matthew P. Stewart
Emanuel Moss
Pete Warden
Brian Plancher
Susan Kennedy
Mona Sloane
Vijay Janapa Reddi
231
5
0
17 Feb 2024
Previous
123...161718...585960
Next