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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 / 2,960 papers shown
On the Relevance of Byzantine Robust Optimization Against Data Poisoning
On the Relevance of Byzantine Robust Optimization Against Data Poisoning
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
AAML
251
2
0
01 May 2024
PackVFL: Efficient HE Packing for Vertical Federated Learning
PackVFL: Efficient HE Packing for Vertical Federated Learning
Liu Yang
Shuowei Cai
Di Chai
Junxue Zhang
Han Tian
Yilun Jin
Kun Guo
Kai Chen
Qiang Yang
FedML
206
1
0
01 May 2024
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich
  Smart Cities
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities
O. Wehbi
S. Arisdakessian
Mohsen Guizani
Omar Abdel Wahab
Azzam Mourad
Hadi Otrok
Hoda AlKhzaimi
B. Ouni
106
5
0
01 May 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning
  Leveraging Weight Decomposition
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition
Yuxuan Yan
Qianqian Yang
Shunpu Tang
Zhiguo Shi
583
32
0
29 Apr 2024
On the Impact of Data Heterogeneity in Federated Learning Environments
  with Application to Healthcare Networks
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
Usevalad Milasheuski
Bernardo Camajori Tedeschini
M. Nicoli
S. Savazzi
OOD
227
11
0
29 Apr 2024
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in
  Heterogeneous Federated Learning
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
Liping Yi
Han Yu
Chao Ren
Heng-Ming Zhang
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
236
2
0
27 Apr 2024
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
Chenghao Huang
Xiaolu Chen
Yanru Zhang
Hao Wang
FedML
424
4
0
27 Apr 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated
  Learning
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
Tao Liu
Yuhang Zhang
Zhu Feng
Zhiqin Yang
Chen Xu
Dapeng Man
Wu Yang
FedMLAAML
242
30
0
26 Apr 2024
An Element-Wise Weights Aggregation Method for Federated Learning
An Element-Wise Weights Aggregation Method for Federated Learning
Yi Hu
Hanchi Ren
Chen Hu
Jingjing Deng
Xianghua Xie
FedML
254
7
0
24 Apr 2024
FedSI: Federated Subnetwork Inference for Efficient Uncertainty
  Quantification
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
Hui Chen
Hengyu Liu
Zhangkai Wu
Xuhui Fan
LongBing Cao
FedML
208
2
0
24 Apr 2024
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
Yueqi Xie
Minghong Fang
Neil Zhenqiang Gong
AAML
288
23
0
24 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation
  Models
Advances and Open Challenges in Federated Learning with Foundation Models
Chao Ren
Han Yu
Hongyi Peng
Xiaoli Tang
Anran Li
...
A. Tan
Bo Zhao
Xiaoxiao Li
Zengxiang Li
Qiang Yang
FedMLAIFinAI4CE
435
3
0
23 Apr 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Taro Langner
182
0
0
22 Apr 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over
  Wireless Networks
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
Bing Luo
Wenli Xiao
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
248
13
0
22 Apr 2024
Mean Aggregator Is More Robust Than Robust Aggregators Under Label
  Poisoning Attacks
Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks
Jie Peng
Weiyu Li
Qing Ling
OOD
198
0
0
21 Apr 2024
FedMPQ: Secure and Communication-Efficient Federated Learning with
  Multi-codebook Product Quantization
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization
Xu Yang
Jiapeng Zhang
Qifeng Zhang
Zhuo Tang
MQ
166
0
0
21 Apr 2024
DNA: Differentially private Neural Augmentation for contact tracing
DNA: Differentially private Neural Augmentation for contact tracing
Rob Romijnders
Christos Louizos
Yuki M. Asano
Max Welling
FedML
230
0
0
20 Apr 2024
Federated Transfer Learning with Task Personalization for Condition
  Monitoring in Ultrasonic Metal Welding
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
Ahmad R. Eslaminia
Yuquan Meng
Klara Nahrstedt
Chenhui Shao
AI4CE
148
5
0
20 Apr 2024
Intelligent Agents for Auction-based Federated Learning: A Survey
Intelligent Agents for Auction-based Federated Learning: A Survey
Xiaoli Tang
Han Yu
Xiaoxiao Li
Sarit Kraus
FedML
180
14
0
20 Apr 2024
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and
  Feature Balance
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance
Zeke Xia
Ming Hu
Dengke Yan
Xiaofei Xie
Tianlin Li
Anran Li
Junlong Zhou
Xiao He
174
3
0
19 Apr 2024
Towards Multi-modal Transformers in Federated Learning
Towards Multi-modal Transformers in Federated Learning
Guangyu Sun
Matías Mendieta
Aritra Dutta
Xin Li
Chong Chen
285
14
0
18 Apr 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing
  Local Model Diversity
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
Naibo Wang
Yuchen Deng
Wenjie Feng
Shichen Fan
Yuxiang Cai
See-Kiong Ng
FedML
265
14
0
18 Apr 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy
  Preservation in Multimodal Sentiment Analysis
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
Zhuojia Wu
Tao Gui
Duoqian Miao
Kun Yi
Wei Fan
Liang Hu
153
11
0
18 Apr 2024
FedEGG: Federated Learning with Explicit Global Guidance
FedEGG: Federated Learning with Explicit Global Guidance
Kun Zhai
Yifeng Gao
Jiabo He
Difan Zou
Guangnan Ye
Yu-Gang Jiang
Yu-Gang Jiang
FedML
205
0
0
18 Apr 2024
Improved Generalization Bounds for Communication Efficient Federated
  Learning
Improved Generalization Bounds for Communication Efficient Federated Learning
Peyman Gholami
H. Seferoglu
FedMLAI4CE
367
6
0
17 Apr 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu
Zhaorui Zhang
Sheng Di
Benben Liu
Khalid Ayedh Alharthi
Jiannong Cao
FedML
225
18
0
17 Apr 2024
Confidential Federated Computations
Confidential Federated Computations
Hubert Eichner
Daniel Ramage
Kallista A. Bonawitz
Dzmitry Huba
Tiziano Santoro
...
Albert Cheu
Katharine Daly
Adria Gascon
Marco Gruteser
Brendan McMahan
372
10
0
16 Apr 2024
Empowering Federated Learning with Implicit Gossiping: Mitigating
  Connection Unreliability Amidst Unknown and Arbitrary Dynamics
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics
Ming Xiang
Stratis Ioannidis
Edmund Yeh
Carlee Joe-Wong
Lili Su
FedML
237
5
0
15 Apr 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under
  Model Heterogeneity
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
Kai Yi
Nidham Gazagnadou
Peter Richtárik
Lingjuan Lyu
313
14
0
15 Apr 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal
Privacy-Preserving Federated Unlearning with Certified Client Removal
Ziyao Liu
Huanyi Ye
Yu Jiang
Jiyuan Shen
Jiale Guo
Ivan Tjuawinata
Kwok-Yan Lam
MU
181
11
0
15 Apr 2024
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain
  Heterogeneity
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity
Yu Qiao
Huy Q. Le
Mengchun Zhang
Apurba Adhikary
Chaoning Zhang
Choong Seon Hong
FedML
171
18
0
14 Apr 2024
Federated Optimization with Doubly Regularized Drift Correction
Federated Optimization with Doubly Regularized Drift Correction
Xiaowen Jiang
Anton Rodomanov
Sebastian U. Stich
FedML
233
14
0
12 Apr 2024
Communication-Efficient Model Aggregation with Layer Divergence Feedback
  in Federated Learning
Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
Liwei Wang
Jun Li
Wen Chen
Qing-Bin Wu
Ming Ding
209
4
0
12 Apr 2024
Bayesian Federated Model Compression for Communication and Computation
  Efficiency
Bayesian Federated Model Compression for Communication and Computation Efficiency
Cheng-Gang Xia
Danny H. K. Tsang
Vincent K. N. Lau
240
1
0
11 Apr 2024
pfl-research: simulation framework for accelerating research in Private
  Federated Learning
pfl-research: simulation framework for accelerating research in Private Federated LearningNeural Information Processing Systems (NeurIPS), 2024
Filip Granqvist
Congzheng Song
Áine Cahill
Rogier van Dalen
Martin Pelikan
Yi Sheng Chan
Xiaojun Feng
Natarajan Krishnaswami
Vojta Jina
Mona Chitnis
FedML
228
12
0
09 Apr 2024
FLEX: FLEXible Federated Learning Framework
FLEX: FLEXible Federated Learning Framework
Francisco Herrera
Daniel Jiménez-López
Alberto Argente-Garrido
Nuria Rodríguez Barroso
Cristina Zuheros
Ignacio Aguilera-Martos
Beatriz Bello
Mario García-Márquez
M. V. Luzón
295
10
0
09 Apr 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Guangchen Lan
Dong-Jun Han
Abolfazl Hashemi
Vaneet Aggarwal
Christopher G. Brinton
820
23
0
09 Apr 2024
Prompt Public Large Language Models to Synthesize Data for Private
  On-device Applications
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
Shanshan Wu
Zheng Xu
Yanxiang Zhang
Yuanbo Zhang
Daniel Ramage
SyDa
266
15
0
05 Apr 2024
Approximate Gradient Coding for Privacy-Flexible Federated Learning with
  Non-IID Data
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID DataEuropean Signal Processing Conference (EUSIPCO), 2024
Okko Makkonen
Sampo Niemelä
Camilla Hollanti
Serge Kas Hanna
191
0
0
04 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual
  Semantic Alignment-Based Contrastive Approach
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive ApproachAAAI Conference on Artificial Intelligence (AAAI), 2024
Qing Liu
Sheng Sun
Yuxuan Liang
Jingjing Xue
Min Liu
AI4TS
226
13
0
04 Apr 2024
Optimal Batch Allocation for Wireless Federated Learning
Optimal Batch Allocation for Wireless Federated LearningIEEE Internet of Things Journal (IEEE IoT J.), 2024
Jaeyoung Song
Sang-Woon Jeon
196
1
0
03 Apr 2024
Harder, Better, Faster, Stronger: Interactive Visualization for
  Human-Centered AI Tools
Harder, Better, Faster, Stronger: Interactive Visualization for Human-Centered AI Tools
Md. Naimul Hoque
Sungbok Shin
Niklas Elmqvist
190
1
0
02 Apr 2024
Federated Distillation: A Survey
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DDFedML
320
21
0
02 Apr 2024
MAPL: Model Agnostic Peer-to-peer Learning
MAPL: Model Agnostic Peer-to-peer Learning
Sayak Mukherjee
Andrea Simonetto
Hadi Jamali Rad
288
2
0
28 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via
  Layer-Wise Model Updates
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Natalie Lang
Alejandro Cohen
Stefano Rini
FedML
229
12
0
27 Mar 2024
The Artificial Neural Twin -- Process Optimization and Continual
  Learning in Distributed Process Chains
The Artificial Neural Twin -- Process Optimization and Continual Learning in Distributed Process Chains
Johannes Emmert
Ronald Mendez
Houman Mirzaalian Dastjerdi
Christopher Syben
Andreas Maier
AI4CE
168
1
0
27 Mar 2024
Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to
  Inform GenAI Copyright Disputes
Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes
Uri Y. Hacohen
Adi Haviv
Shahar Sarfaty
Bruria Friedman
N. Elkin-Koren
Roi Livni
Amit H. Bermano
AILaw
248
11
0
26 Mar 2024
On permutation-invariant neural networks
On permutation-invariant neural networks
Masanari Kimura
Ryotaro Shimizu
Yuki Hirakawa
Ryosuke Goto
Yuki Saito
OODAAML
345
17
0
26 Mar 2024
FedAC: An Adaptive Clustered Federated Learning Framework for
  Heterogeneous Data
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
Yuxin Zhang
Haoyu Chen
Zheng Lin
Zhe Chen
Jin Zhao
FedML
258
37
0
25 Mar 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side
  Pre-trained Generator to Clients in Heterogeneous Federated Learning
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024
Jianqing Zhang
Yang Liu
Yang Hua
Jian Cao
247
20
0
23 Mar 2024
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