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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 / 2,962 papers shown
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
CollabEdit: Towards Non-destructive Collaborative Knowledge EditingInternational Conference on Learning Representations (ICLR), 2024
Jiamu Zheng
Jinghuai Zhang
Xuhong Zhang
Xuhong Zhang
Jianwei Yin
Tao Lin
KELM
528
0
0
12 Oct 2024
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary
  Statistics-Based Thresholding
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based ThresholdingScientific Reports (Sci Rep), 2024
Sofiane Laridi
Gregory Palmer
Kam-Ming Mark Tam
FedML
136
9
0
11 Oct 2024
MYCROFT: Towards Effective and Efficient External Data Augmentation
MYCROFT: Towards Effective and Efficient External Data Augmentation
Zain Sarwar
Van-Tai Tran
A. Bhagoji
Nick Feamster
Ben Y. Zhao
Supriyo Chakraborty
332
1
0
11 Oct 2024
Federated Learning in Practice: Reflections and Projections
Federated Learning in Practice: Reflections and ProjectionsInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
322
30
0
11 Oct 2024
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical
  Framework for Low-Rank Adaptation
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation
Grigory Malinovsky
Umberto Michieli
Hasan Hammoud
Taha Ceritli
Hayder Elesedy
Mete Ozay
Peter Richtárik
AI4CE
275
10
0
10 Oct 2024
CL3: A Collaborative Learning Framework for the Medical Data Ensuring
  Data Privacy in the Hyperconnected Environment
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected EnvironmentWISE (WISE), 2024
Mohamamd Zavid Parvez
R. Islam
Md Zahidul Islam
139
0
0
10 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in
  Federated Edge Learning
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning
Jingbo Zhang
Qiong Wu
Pingyi Fan
Nan Cheng
FedML
247
2
0
10 Oct 2024
Federated Graph Learning for Cross-Domain Recommendation
Federated Graph Learning for Cross-Domain RecommendationNeural Information Processing Systems (NeurIPS), 2024
Ziqi Yang
Zhaopeng Peng
Zihui Wang
Jianzhong Qi
Chaochao Chen
Weike Pan
Chenglu Wen
Cheng-Yu Wang
Xiaoliang Fan
FedML
199
11
0
10 Oct 2024
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air AggregationIEEE Wireless Communications Letters (WCL), 2024
Abdulmomen Ghalkha
Chaouki Ben Issaid
Mehdi Bennis
310
1
0
10 Oct 2024
Distributionally Robust Clustered Federated Learning: A Case Study in
  Healthcare
Distributionally Robust Clustered Federated Learning: A Case Study in HealthcareIEEE Conference on Decision and Control (CDC), 2024
Xenia Konti
Hans Riess
Manos Giannopoulos
Yi Shen
Michael J. Pencina
Nicoleta J. Economou-Zavlanos
Michael M. Zavlanos
FedMLOOD
185
3
0
09 Oct 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD
Noise is All You Need: Private Second-Order Convergence of Noisy SGD
Dmitrii Avdiukhin
Michael Dinitz
Chenglin Fan
G. Yaroslavtsev
276
1
0
09 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized
  Federated Learning
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
Zhilong Li
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Mengmeng Chen
Qiqi Liu
Qicheng Lao
Han Yu
FedML
304
3
0
09 Oct 2024
Boosting the Performance of Decentralized Federated Learning via
  Catalyst Acceleration
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration
Qinglun Li
Miao Zhang
Yingqi Liu
Quanjun Yin
Li Shen
Xiaochun Cao
FedML
250
1
0
09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODDFedML
235
1
0
09 Oct 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Jianqing Zhang
Yang Liu
Yang Hua
Jian Cao
Qiang Yang
FedML
316
1
0
09 Oct 2024
Communication-Efficient Federated Group Distributionally Robust
  Optimization
Communication-Efficient Federated Group Distributionally Robust OptimizationNeural Information Processing Systems (NeurIPS), 2024
Zhishuai Guo
Tianbao Yang
FedML
367
1
0
08 Oct 2024
Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design
Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design
Zhan-Lun Chang
Dong-Jun Han
Rohit Parasnis
Seyyedali Hosseinalipour
Christopher G. Brinton
306
1
0
08 Oct 2024
A Seesaw Model Attack Algorithm for Distributed Learning
A Seesaw Model Attack Algorithm for Distributed LearningInternational Conferences on Smart Internet of Things (ICCSIT), 2024
Kun Yang
Tianyi Luo
Yanjie Dong
Aohan Li
AAMLFedML
119
0
0
07 Oct 2024
FairFML: Fair Federated Machine Learning with a Case Study on Reducing
  Gender Disparities in Cardiac Arrest Outcome Prediction
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
Siqi Li
Qiming Wu
Xin Li
Di Miao
Chuan Hong
...
Michael Hao Chen
Mengying Yan
Yilin Ning
M. Ong
Nan Liu
238
4
0
07 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OODFedML
274
12
0
07 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks
FRIDA: Free-Rider Detection using Privacy Attacks
Pol G. Recasens
Ádám Horváth
Alberto Gutierrez-Torre
Jordi Torres
Josep Ll.Berral
Balázs Pejó
FedML
404
2
0
07 Oct 2024
Federated Learning Nodes Can Reconstruct Peers' Image Data
Federated Learning Nodes Can Reconstruct Peers' Image Data
Ethan Wilson
Kai Yue
Chau-Wai Wong
H. Dai
FedML
274
1
0
07 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Haokun Chen
Hang Li
Yao Zhang
Gengyuan Zhang
Jinhe Bi
Juil Sock
Philip Torr
Denis Krompass
Denis Krompass
Volker Tresp
379
13
0
07 Oct 2024
MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times
MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute TimesConference on Uncertainty in Artificial Intelligence (UAI), 2024
Artavazd Maranjyan
Omar Shaikh Omar
Peter Richtárik
277
4
0
05 Oct 2024
Influence-oriented Personalized Federated Learning
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
237
0
0
04 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
434
1
0
03 Oct 2024
Overpredictive Signal Analytics in Federated Learning: Algorithms and
  Analysis
Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis
Vijay Anavangot
FedML
132
0
0
02 Oct 2024
A Federated Learning Platform as a Service for Advancing Stroke
  Management in European Clinical Centers
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical CentersInternational Conference on e-Health Networking, Applications and Services (HealthCom), 2024
Diogo Reis Santos
Albert Sund Aillet
Antonio Boiano
Usevalad Milasheuski
Lorenzo Giusti
...
M. Nicoli
Michele Carminati
A. Redondi
S. Savazzi
Luigi Serio
98
6
0
02 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling
  Heterogeneity Issues
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity IssuesACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2024
Yunming Liao
Yang Xu
Hongli Xu
Zhiwei Yao
Liusheng Huang
C. Qiao
FedML
284
19
0
02 Oct 2024
Debiasing Federated Learning with Correlated Client Participation
Debiasing Federated Learning with Correlated Client ParticipationInternational Conference on Learning Representations (ICLR), 2024
Zhenyu Sun
Ziyang Zhang
Zheng Xu
Gauri Joshi
Pranay Sharma
Ermin Wei
FedML
301
1
0
02 Oct 2024
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Jonathan Passerat-Palmbach
Jonathan Passerat-Palmbach
253
0
0
02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated LearningInternational Conference on Learning Representations (ICLR), 2024
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
557
43
0
02 Oct 2024
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
Gabriel Thompson
Kai Yue
Chau-Wai Wong
H. Dai
FedML
271
1
0
02 Oct 2024
Quantized and Asynchronous Federated Learning
Quantized and Asynchronous Federated LearningIEEE Transactions on Communications (IEEE Trans. Commun.), 2024
Tomàs Ortega
Hamid Jafarkhani
FedML
247
5
0
30 Sep 2024
Fine-Tuning Personalization in Federated Learning to Mitigate
  Adversarial Clients
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial ClientsNeural Information Processing Systems (NeurIPS), 2024
Youssef Allouah
Abdellah El Mrini
R. Guerraoui
Nirupam Gupta
Rafael Pinot
FedML
191
7
0
30 Sep 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate
  Federated Learning
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated LearningNeural Information Processing Systems (NeurIPS), 2024
M. A. Khan
Yasra Chandio
Fatima M. Anwar
AAML
294
3
0
30 Sep 2024
Advances in Privacy Preserving Federated Learning to Realize a Truly
  Learning Healthcare System
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare SystemInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Ravi K. Madduri
Zilinghan Li
Tarak Nandi
Kibaek Kim
Minseok Ryu
Alex Rodriguez
185
3
0
29 Sep 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge
  Distillation
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge DistillationInternational Conference on Advanced Data Mining and Applications (ADMA), 2024
Huidong Tang
Chen Li
Huachong Yu
Sayaka Kamei
Yasuhiko Morimoto
FedML
272
1
0
29 Sep 2024
One Node Per User: Node-Level Federated Learning for Graph Neural
  Networks
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
Zhidong Gao
Yuanxiong Guo
Yanmin Gong
FedML
155
1
0
29 Sep 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo
  Federated Learning
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated LearningJournal of Information Security and Applications (JISA), 2024
Jiaxin Li
Marco Arazzi
Antonino Nocera
Mauro Conti
192
5
0
28 Sep 2024
Quantum delegated and federated learning via quantum homomorphic
  encryption
Quantum delegated and federated learning via quantum homomorphic encryptionResearch Directions: Quantum Technologies (RDQT), 2024
Weikang Li
Dong-Ling Deng
FedML
196
6
0
28 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Hierarchical Federated Learning with Multi-Timescale Gradient CorrectionNeural Information Processing Systems (NeurIPS), 2024
Wenzhi Fang
Dong-Jun Han
Evan Chen
Jianing Zhang
Christopher G. Brinton
206
18
0
27 Sep 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated
  Learning
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
Diego Cajaraville-Aboy
Ana Fernández-Vilas
R. Redondo
Manuel Fernández-Veiga
206
8
0
26 Sep 2024
Efficient Federated Learning against Heterogeneous and Non-stationary
  Client Unavailability
Efficient Federated Learning against Heterogeneous and Non-stationary Client UnavailabilityNeural Information Processing Systems (NeurIPS), 2024
Ming Xiang
Stratis Ioannidis
Edmund Yeh
Carlee Joe-Wong
Lili Su
FedML
343
10
0
26 Sep 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Xiufang Shi
Wei Zhang
Mincheng Wu
Guangyi Liu
Z. Wen
Shibo He
Tejal Shah
R. Ranjan
DDFedML
327
1
0
26 Sep 2024
Peer-to-Peer Learning Dynamics of Wide Neural Networks
Peer-to-Peer Learning Dynamics of Wide Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Shreyas Chaudhari
Srinivasa Pranav
Emile Anand
José M. F. Moura
442
5
0
23 Sep 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and
  Artificially-Labeled Noise
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled NoiseInternational Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024
Kyle Rui Sang
Tahseen Rabbani
Furong Huang
FedML
192
1
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
462
36
0
19 Sep 2024
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
Haemin Park
Diego Klabjan
FedML
445
4
0
19 Sep 2024
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