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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 / 2,962 papers shown
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
On the effects of similarity metrics in decentralized deep learning under distributional shift
On the effects of similarity metrics in decentralized deep learning under distributional shift
Edvin Listo Zec
Tom Hagander
Eric Ihre-Thomason
Sarunas Girdzijauskas
FedML
244
0
0
16 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
391
39
0
15 Sep 2024
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Hao Jian Huang
Bekzod Iskandarov
Mizanur Rahman
FedML
329
4
0
15 Sep 2024
Byzantine-Robust and Communication-Efficient Distributed Learning via
  Compressed Momentum Filtering
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
Changxin Liu
Yanghao Li
Yuhao Yi
Karl H. Johansson
FedML
179
0
0
13 Sep 2024
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning
Minxue Tang
Yitu Wang
Jingyang Zhang
Louis DiValentin
Aolin Ding
Amin Hass
Yiran Chen
Hai "Helen" Li
FedMLAAML
211
0
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
Exploring User-level Gradient Inversion with a Diffusion Prior
Exploring User-level Gradient Inversion with a Diffusion Prior
Zhuohang Li
Andrew Lowy
Jing Liu
T. Koike-Akino
Bradley Malin
K. Parsons
Ye Wang
DiffM
178
1
0
11 Sep 2024
Leveraging Unstructured Text Data for Federated Instruction Tuning of
  Large Language Models
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
Rui Ye
Rui Ge
Yuchi Fengting
Jingyi Chai
Yanfeng Wang
Siheng Chen
FedML
275
3
0
11 Sep 2024
Applied Federated Model Personalisation in the Industrial Domain: A
  Comparative Study
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study
Ilias Siniosoglou
Vasileios Argyriou
G. Fragulis
Panagiotis E. Fouliras
Georgios Th. Papadopoulos
A. Lytos
Panagiotis G. Sarigiannidis
185
1
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
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Jiahao Lai
Jiaqiang Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
375
1
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
301
3
0
08 Sep 2024
Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive
  Computation and Communication Compression
Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication CompressionIEEE Transactions on Mobile Computing (IEEE TMC), 2024
Zhenxiao Zhang
Zhidong Gao
Yuanxiong Guo
Yanmin Gong
253
9
0
06 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
2
0
05 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
Muxing Wang
Pengkun Yang
Lili Su
FedML
373
2
0
05 Sep 2024
Learning Privacy-Preserving Student Networks via
  Discriminative-Generative Distillation
Learning Privacy-Preserving Student Networks via Discriminative-Generative DistillationIEEE Transactions on Image Processing (IEEE TIP), 2022
Shiming Ge
Bochao Liu
Pengju Wang
Yong Li
Dan Zeng
FedML
273
22
0
04 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
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless
  Image Classification
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image ClassificationIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2024
Eslam Eldeeb
M. Shehab
Hirley Alves
Mohamed-Slim Alouini
196
2
0
03 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
296
4
0
03 Sep 2024
Federated Aggregation of Mallows Rankings: A Comparative Analysis of
  Borda and Lehmer Coding
Federated Aggregation of Mallows Rankings: A Comparative Analysis of Borda and Lehmer Coding
Jin Sima
Vishal Rana
Olgica Milenkovic
FedML
138
0
0
01 Sep 2024
Bandwidth-Aware and Overlap-Weighted Compression for
  Communication-Efficient Federated Learning
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated LearningInternational Conference on Parallel Processing (ICPP), 2024
Zichen Tang
Junlin Huang
Rudan Yan
Yuxin Wang
Zhenheng Tang
Shaoshuai Shi
Amelie Chi Zhou
Xiaowen Chu
FedML
164
6
0
27 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
Submodular Maximization Approaches for Equitable Client Selection in
  Federated Learning
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning
Andrés Catalino Castillo Jiménez
Ege C. Kaya
Lintao Ye
Abolfazl Hashemi
FedML
243
3
0
24 Aug 2024
RFID based Health Adherence Medicine Case Using Fair Federated Learning
RFID based Health Adherence Medicine Case Using Fair Federated Learning
Ali Kamrani khodaei
Sina Hajer Ahmadi
136
0
0
21 Aug 2024
Federated Learning Approach to Mitigate Water Wastage
Federated Learning Approach to Mitigate Water Wastage
Sina Hajer Ahmadi
Amruta Pranadika Mahashabde
87
0
0
21 Aug 2024
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of
  Experts
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
Hanzi Mei
Dongqi Cai
Ao Zhou
Shangguang Wang
Mengwei Xu
MoE
337
18
0
21 Aug 2024
The Key of Parameter Skew in Federated Learning
The Key of Parameter Skew in Federated Learning
Sifan Wang
Junfeng Liao
Ye Yuan
Riquan Zhang
FedML
281
0
0
21 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
342
1
0
20 Aug 2024
Towards Robust Federated Image Classification: An Empirical Study of
  Weight Selection Strategies in Manufacturing
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
270
3
0
19 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions
  for a Shared Production Environment
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production EnvironmentIEEE International Symposium on Multimedia (ISM), 2024
T. Legler
Vinit Hegiste
Ahmed Anwar
Martin Ruskowski
194
5
0
18 Aug 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems
Seamless Integration: Sampling Strategies in Federated Learning Systems
T. Legler
Vinit Hegiste
Martin Ruskowski
FedML
248
2
0
18 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
346
10
0
18 Aug 2024
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
Shiyuan Zuo
Xingrun Yan
Rongfei Fan
Li Shen
P. Zhao
Jie Xu
Han Hu
FedML
402
3
0
18 Aug 2024
FedFQ: Federated Learning with Fine-Grained Quantization
FedFQ: Federated Learning with Fine-Grained Quantization
Haowei Li
Weiying Xie
Hangyu Ye
Haonan Qin
Shuran Ma
Yunsong Li
FedMLMQ
169
3
0
16 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 Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
H. B. McMahan
Zheng Xu
Yanxiang Zhang
FedML
434
9
0
16 Aug 2024
Federated Fairness Analytics: Quantifying Fairness in Federated Learning
Federated Fairness Analytics: Quantifying Fairness in Federated Learning
Oscar Dilley
Juan Marcelo Parra Ullauri
Rasheed Hussain
Dimitra Simeonidou
FedML
197
4
0
15 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification
  with Personalization
Addressing Skewed Heterogeneity via Federated Prototype Rectification with PersonalizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Shunxin Guo
Hongsong Wang
Shuxia Lin
Zhiqiang Kou
Xin Geng
FedML
347
7
0
15 Aug 2024
DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams
DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams
Chuyang Ye
Dongyan Wei
Zhendong Liu
Yuanyi Pang
Yixi Lin
Jiarong Liao
Qinting Jiang
Xianghua Fu
TTA
385
0
0
15 Aug 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Alessio Mora
Lorenzo Valerio
Paolo Bellavista
A. Passarella
FedMLMU
385
5
0
14 Aug 2024
Heterogeneity: An Open Challenge for Federated On-board Machine Learning
Heterogeneity: An Open Challenge for Federated On-board Machine Learning
Maria Hartmann
Grégoire Danoy
Pascal Bouvry
FedML
226
0
0
13 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI
  Dataset and their Shapley-value Based Interpretability
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability
Mario Padilla Rodriguez
Mohamed Nafea
FedML
244
0
0
12 Aug 2024
Understanding Byzantine Robustness in Federated Learning with A
  Black-box Server
Understanding Byzantine Robustness in Federated Learning with A Black-box Server
Fangyuan Zhao
Yuexiang Xie
Xuebin Ren
Bolin Ding
Shusen Yang
Yaliang Li
FedMLAAML
260
1
0
12 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning
  with Momentum on Shared Server Data
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server DataACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Ji Liu
Juncheng Jia
Hong Zhang
Yuhui Yun
Leye Wang
Yang Zhou
H. Dai
Dejing Dou
FedML
234
12
0
11 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
309
0
0
11 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning
LiD-FL: Towards List-Decodable Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Hong Liu
Liren Shan
Han Bao
Ronghui You
Yuhao Yi
Jiancheng Lv
FedML
479
0
0
09 Aug 2024
Overlay-based Decentralized Federated Learning in Bandwidth-limited
  Networks
Overlay-based Decentralized Federated Learning in Bandwidth-limited NetworksACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2024
Yudi Huang
Tingyang Sun
Ting He
175
3
0
08 Aug 2024
Strategic Federated Learning: Application to Smart Meter Data Clustering
Strategic Federated Learning: Application to Smart Meter Data ClusteringEuropean Signal Processing Conference (EUSIPCO), 2024
Hassan Mohamad
Chao Zhang
S. Lasaulce
V. Varma
Mérouane Debbah
Mounir Ghogho
FedML
128
0
0
05 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
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