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Federated Learning: Challenges, Methods, and Future Directions

Federated Learning: Challenges, Methods, and Future Directions

IEEE Signal Processing Magazine (IEEE SPM), 2019
21 August 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Learning: Challenges, Methods, and Future Directions"

50 / 1,676 papers shown
Immersion and Invariance-based Coding for Privacy-Preserving Federated
  Learning
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
H. Hayati
C. Murguia
N. van de Wouw
FedML
145
0
0
25 Sep 2024
Communication and Energy Efficient Federated Learning using Zero-Order
  Optimization Technique
Communication and Energy Efficient Federated Learning using Zero-Order Optimization TechniqueIEEE Transactions on Signal Processing (IEEE TSP), 2024
Elissa Mhanna
Mohamad Assaad
202
0
0
24 Sep 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored ClippingInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2024
Jiaxing Li
Zihan Chen
Kai Fong Ernest Chong
Bikramjit Das
Tony Q.S. Quek
Howard H. Yang
459
2
0
23 Sep 2024
Re-Evaluating Privacy in Centralized and Decentralized Learning: An
  Information-Theoretical and Empirical Study
Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical StudyIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Changlong Ji
Stephane Maag
Richard Heusdens
Qiongxiu Li
FedML
187
3
0
21 Sep 2024
Perfect Gradient Inversion in Federated Learning: A New Paradigm from
  the Hidden Subset Sum Problem
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem
Qiongxiu Li
Lixia Luo
Agnese Gini
Changlong Ji
Zhanhao Hu
Xiao-Li Li
Chengfang Fang
Jie Shi
Xiaolin Hu
FedML
245
4
0
21 Sep 2024
Noise-Robust and Resource-Efficient ADMM-based Federated Learning
Noise-Robust and Resource-Efficient ADMM-based Federated Learning
Ehsan Lari
Reza Arablouei
Vinay Chakravarthi Gogineni
Stefan Werner
FedML
308
1
0
20 Sep 2024
A Ring-Based Distributed Algorithm for Learning High-Dimensional
  Bayesian Networks
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian NetworksEuropean Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU), 2024
Jorge D. Laborda
Pablo Torrijos
J. M. Puerta
J. A. Gamez
169
3
0
20 Sep 2024
Federated Learning with Label-Masking Distillation
Federated Learning with Label-Masking DistillationACM Multimedia (MM), 2023
Jianghu Lu
Shikun Li
Kexin Bao
Pengju Wang
Zhenxing Qian
Shiming Ge
FedML
234
24
0
20 Sep 2024
Green Federated Learning: A new era of Green Aware AI
Green Federated Learning: A new era of Green Aware AIACM Computing Surveys (ACM CSUR), 2024
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
AI4CE
461
32
0
19 Sep 2024
Enhancing Mental Health Support through Human-AI Collaboration: Toward
  Secure and Empathetic AI-enabled chatbots
Enhancing Mental Health Support through Human-AI Collaboration: Toward Secure and Empathetic AI-enabled chatbotsConference on Algebraic Informatics (CAI), 2024
Rawan AlMakinah
Andrea Norcini-Pala
Lindsey Disney
M. Abdullah Canbaz
AI4MH
170
9
0
17 Sep 2024
Federated Learning with Integrated Sensing, Communication, and
  Computation: Frameworks and Performance Analysis
Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
Yipeng Liang
Qimei Chen
Hao Jiang
FedML
301
2
0
17 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Advances in APPFL: A Comprehensive and Extensible Federated Learning FrameworkIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
464
20
0
17 Sep 2024
Over-the-Air Federated Learning via Weighted Aggregation
Over-the-Air Federated Learning via Weighted AggregationIEEE Transactions on Wireless Communications (IEEE TWC), 2024
Seyed Mohammad Azimi-Abarghouyi
Leandros Tassiulas
FedML
267
6
0
12 Sep 2024
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot
  Federated Learning
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated LearningIndustrial Conference on Data Mining (IDM), 2024
Kangyang Luo
Shuai Wang
Y. Fu
Renrong Shao
Xiang Li
Yunshi Lan
Ming Gao
Jinlong Shu
FedML
315
4
0
12 Sep 2024
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption
  using Reinforcement Learning
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
Jiaxang Tang
Zeshan Fayyaz
M. A. Salahuddin
R. Boutaba
Zhi-Li Zhang
Ali Anwar
FedML
193
0
0
11 Sep 2024
Distributed Convolutional Neural Network Training on Mobile and Edge
  Clusters
Distributed Convolutional Neural Network Training on Mobile and Edge Clusters
Pranav Rama
Madison Threadgill
A. Gerstlauer
131
0
0
11 Sep 2024
Privacy-Preserving Federated Learning with Consistency via Knowledge
  Distillation Using Conditional Generator
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator
Kangyang Luo
Shuai Wang
Xiang Li
Yunshi Lan
Ming Gao
Jinlong Shu
FedML
257
2
0
11 Sep 2024
Personalized Federated Learning Techniques: Empirical Analysis
Personalized Federated Learning Techniques: Empirical AnalysisBigData Congress [Services Society] (BSS), 2024
Azal Ahmad Khan
Ahmad Faraz Khan
Haider Ali
A. Anwar
FedML
256
3
0
10 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
351
1
0
10 Sep 2024
Compute-Update Federated Learning: A Lattice Coding Approach
Compute-Update Federated Learning: A Lattice Coding ApproachIEEE Transactions on Signal Processing (IEEE TSP), 2024
Seyed Mohammad Azimi-Abarghouyi
Lav Varshney
FedML
149
3
0
10 Sep 2024
Towards Practical Overlay Networks for Decentralized Federated Learning
Towards Practical Overlay Networks for Decentralized Federated LearningIEEE International Conference on Network Protocols (ICNP), 2024
Yifan Hua
Jinlong Pang
Xiaoxue Zhang
Yi Liu
X. Shi
Bao Wang
Yang Liu
Chen Qian
FedML
182
3
0
09 Sep 2024
DynamicFL: Federated Learning with Dynamic Communication Resource
  Allocation
DynamicFL: Federated Learning with Dynamic Communication Resource AllocationBigData Congress [Services Society] (BSS), 2024
Qi Le
Enmao Diao
Xinran Wang
Vahid Tarokh
Jie Ding
Ali Anwar
FedML
298
2
0
08 Sep 2024
Can We Theoretically Quantify the Impacts of Local Updates on the
  Generalization Performance of Federated Learning?
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2024
Peizhong Ju
Haibo Yang
Jia Liu
Yingbin Liang
Ness B. Shroff
FedML
304
1
0
05 Sep 2024
ACCESS-FL: Agile Communication and Computation for Efficient Secure
  Aggregation in Stable Federated Learning Networks
ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks
Niousha Nazemi
Omid Tavallaie
Shuaijun Chen
Anna Maria Mandalari
Kanchana Thilakarathna
Ralph Holz
Hamed Haddadi
Albert Y. Zomaya
FedML
274
2
0
03 Sep 2024
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
Kenneth Stewart
Michael Neumeier
Sumit Bam Shrestha
Garrick Orchard
Emre Neftci
183
0
0
28 Aug 2024
FedGlu: A personalized federated learning-based glucose forecasting
  algorithm for improved performance in glycemic excursion regions
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions
Darpit Dave
Kathan Vyas
Jagadish K. Jayagopal
Alfredo Garcia
M. Erraguntla
Mark Lawley
FedML
227
5
0
25 Aug 2024
Enhancing Vehicle Environmental Awareness via Federated Learning and
  Automatic Labeling
Enhancing Vehicle Environmental Awareness via Federated Learning and Automatic Labeling
Chih-Yu Lin
Jin-Wei Liang
170
2
0
23 Aug 2024
Understanding Data Reconstruction Leakage in Federated Learning from a
  Theoretical Perspective
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective
Zifan Wang
Binghui Zhang
Meng Pang
Yuan Hong
Binghui Wang
FedML
253
0
0
22 Aug 2024
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
Mirko Nardi
Lorenzo Valerio
A. Passarella
FedML
341
1
0
20 Aug 2024
Privacy Technologies for Financial Intelligence
Privacy Technologies for Financial Intelligence
Yang D. Li
Thilina Ranbaduge
Kee Siong Ng
175
1
0
19 Aug 2024
Orchestrating Federated Learning in Space-Air-Ground Integrated
  Networks: Adaptive Data Offloading and Seamless Handover
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless HandoverIEEE Journal on Selected Areas in Communications (JSAC), 2024
Dong-Jun Han
Wenzhi Fang
Seyyedali Hosseinalipour
Mung Chiang
Christopher G. Brinton
345
8
0
18 Aug 2024
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models
  in FLaaS
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaSInternational Conference on Web Services (ICWS), 2024
Shuaijun Chen
Omid Tavallaie
Niousha Nazemi
Albert Y. Zomaya
236
10
0
16 Aug 2024
A survey on secure decentralized optimization and learning
A survey on secure decentralized optimization and learning
Changxin Liu
Nicola Bastianello
Wei Huo
Yang Shi
Karl H. Johansson
239
10
0
16 Aug 2024
Distributed Stackelberg Strategies in State-based Potential Games for
  Autonomous Decentralized Learning Manufacturing Systems
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
Steve Yuwono
Dorothea Schwung
Andreas Schwung
131
1
0
12 Aug 2024
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation
Xiaoxiong Zhang
Zhiwei Zeng
Xin Zhou
Zhiqi Shen
FedML
253
2
0
11 Aug 2024
XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled
  Deep Learning
XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning
Kaixin Liu
Huixin Xiong
Bingyu Duan
Zexuan Cheng
Xinyu Zhou
Wanqian Zhang
Xinming Zhang
157
0
0
09 Aug 2024
Constructing Adversarial Examples for Vertical Federated Learning:
  Optimal Client Corruption through Multi-Armed Bandit
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed BanditInternational Conference on Learning Representations (ICLR), 2024
Duanyi Yao
Songze Li
Ye Xue
Jin Liu
FedMLAAML
185
4
0
08 Aug 2024
Tackling Noisy Clients in Federated Learning with End-to-end Label
  Correction
Tackling Noisy Clients in Federated Learning with End-to-end Label CorrectionInternational Conference on Information and Knowledge Management (CIKM), 2024
Xuefeng Jiang
Sheng Sun
Jia Li
Jingjing Xue
Runhan Li
Zhiyuan Wu
Gang Xu
Yuwei Wang
Min Liu
FedML
329
21
0
08 Aug 2024
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic reviewmedRxiv (medRxiv), 2024
A. Ankolekar
S. Boie
M. Abdollahyan
E. Gadaleta
S. A. Hasheminasab
...
M. Bussmann
S. Khalid
H. Kruger
Philippe Lambin
G. Papanastasiou
AI4CE
370
9
0
08 Aug 2024
Privacy-Preserving Split Learning with Vision Transformers using
  Patch-Wise Random and Noisy CutMix
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix
Yang Jin
Sihun Baek
Lei Zhang
Hyelin Nam
Praneeth Vepakomma
Ramesh Raskar
Mehdi Bennis
Seong-Lyun Kim
269
6
0
02 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with
  Heterogeneous Models
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
Wentao Gao
Omid Tavallaie
Shuaijun Chen
Albert Zomaya
FedML
223
13
0
30 Jul 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion
  Models
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion ModelsACM Multimedia (MM), 2024
Mingzhao Yang
Shangchao Su
Bin Li
Xiangyang Xue
221
14
0
29 Jul 2024
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous
  Environment
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment
Sai Puppala
Ismail Hossain
Md. jahangir Alam
Sajedul Talukder
Zahidur Talukder
Syed Bahauddin
242
4
0
25 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
520
4
0
25 Jul 2024
Federated Automatic Latent Variable Selection in Multi-output Gaussian
  Processes
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes
Jingyi Gao
Seokhyun Chung
FedML
166
2
0
24 Jul 2024
Theoretical Analysis of Privacy Leakage in Trustworthy Federated
  Learning: A Perspective from Linear Algebra and Optimization Theory
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory
Xiaojin Zhang
Wei Chen
FedML
221
1
0
23 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization,
  Robustness, and Fairness
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Xingtai Lv
Zhiyong Peng
231
2
0
23 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in
  Federated Learning
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAMLFedML
314
1
0
21 Jul 2024
Proof-of-Collaborative-Learning: A Multi-winner Federated Learning
  Consensus Algorithm
Proof-of-Collaborative-Learning: A Multi-winner Federated Learning Consensus Algorithm
Amirreza Sokhankhosh
Sara Rouhani
FedML
153
6
0
17 Jul 2024
Non-parametric regularization for class imbalance federated medical
  image classification
Non-parametric regularization for class imbalance federated medical image classification
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
212
1
0
17 Jul 2024
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