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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
Energy-efficient Decentralized Learning via Graph Sparsification
Energy-efficient Decentralized Learning via Graph Sparsification
Xusheng Zhang
Cho-Chun Chiu
Ting He
336
2
0
05 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in
  Federated Learning
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
Zhifeng Jiang
Peng Ye
Shiqi He
Wei Wang
Ruichuan Chen
Bo Li
321
6
0
05 Jan 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
Yuxin Shi
Han Yu
FedML
329
3
0
05 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for
  Heterogeneous Federated Learning
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Kuangpu Guo
Yuhe Ding
Jian Liang
Ran He
Zilei Wang
Tieniu Tan
FedML
265
3
0
04 Jan 2024
Modern Computing: Vision and Challenges
Modern Computing: Vision and ChallengesTelematics and Informatics Reports (TIR), 2024
S. Gill
Huaming Wu
Panos Patros
Carlo Ottaviani
Priyansh Arora
...
Salil S. Kanhere
Schahram Dustdar
Steve Uhlig
K. Ramamohanarao
Rajkumar Buyya
225
137
0
04 Jan 2024
Adaptive Differential Privacy in Federated Learning: A Priority-Based
  Approach
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach
Mahtab Talaei
Iman Izadi
FedML
104
13
0
04 Jan 2024
IoT in the Era of Generative AI: Vision and Challenges
IoT in the Era of Generative AI: Vision and ChallengesIEEE Internet Computing (IEEE Internet Comput.), 2024
Xin Wang
Zhongwei Wan
Arvin Hekmati
M. Zong
Samiul Alam
Mi Zhang
Bhaskar Krishnamachari
261
5
0
03 Jan 2024
Facebook Report on Privacy of fNIRS data
Facebook Report on Privacy of fNIRS data
Md. Imran Hossen
Sai Venkatesh Chilukoti
Liqun Shan
Vijay Srinivas Tida
X. Hei
115
0
0
01 Jan 2024
LEFL: Low Entropy Client Sampling in Federated Learning
LEFL: Low Entropy Client Sampling in Federated Learning
Waqwoya Abebe
J. P. Muñoz
Ali Jannesari
FedML
312
2
0
29 Dec 2023
Replica Tree-based Federated Learning using Limited Data
Replica Tree-based Federated Learning using Limited Data
Ramona Ghilea
I. Rekik
177
0
0
28 Dec 2023
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
210
0
0
26 Dec 2023
Federated Hyperdimensional Computing
Federated Hyperdimensional Computing
Kazim Ergun
Rishikanth Chandrasekaran
Tajana Simunic
FedML
181
0
0
26 Dec 2023
Cooperative Federated Learning over Ground-to-Satellite Integrated
  Networks: Joint Local Computation and Data Offloading
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading
Dong-Jun Han
Seyyedali Hosseinalipour
David J. Love
Mung Chiang
Christopher G. Brinton
FedML
190
31
0
23 Dec 2023
Personalized Federated Learning with Attention-based Client Selection
Personalized Federated Learning with Attention-based Client Selection
Zihan Chen
Wenlin Yao
Cong Shen
FedML
153
11
0
23 Dec 2023
Accelerated Convergence of Stochastic Heavy Ball Method under
  Anisotropic Gradient Noise
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
Boyao Wang
Yuxing Liu
Xiaoyu Wang
Tong Zhang
219
7
0
22 Dec 2023
Federated Quantum Long Short-term Memory (FedQLSTM)
Federated Quantum Long Short-term Memory (FedQLSTM)
Mahdi Chehimi
Samuel Yen-Chi Chen
Walid Saad
Shinjae Yoo
FedML
282
30
0
21 Dec 2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data
  Heterogeneity in Federated Learning
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai
Ye-ling Shi
Wei Huang
Jingya Wang
FedML
287
9
0
21 Dec 2023
DCFL: Non-IID awareness Data Condensation aided Federated Learning
DCFL: Non-IID awareness Data Condensation aided Federated Learning
Shaohan Sha
YaFeng Sun
FedMLDD
237
0
0
21 Dec 2023
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth
  and Data Heterogeneity
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity
Yiyue Chen
H. Vikalo
C. Wang
FedML
226
13
0
20 Dec 2023
Federated Learning While Providing Model as a Service: Joint Training
  and Inference Optimization
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
Pengchao Han
Maroun Touma
Yang Jiao
Jianwei Huang
FedML
298
12
0
20 Dec 2023
Federated Learning with Extremely Noisy Clients via Negative
  Distillation
Federated Learning with Extremely Noisy Clients via Negative Distillation
Yang Lu
Lin Chen
Yonggang Zhang
Yiliang Zhang
Bo Han
Yiu-ming Cheung
Hanzi Wang
FedML
275
20
0
20 Dec 2023
Convergence Visualizer of Decentralized Federated Distillation with
  Reduced Communication Costs
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs
Akihito Taya
Yuuki Nishiyama
K. Sezaki
FedML
157
0
0
19 Dec 2023
Social Learning: Towards Collaborative Learning with Large Language
  Models
Social Learning: Towards Collaborative Learning with Large Language Models
Amirkeivan Mohtashami
Florian Hartmann
Sian Gooding
Lukás Zilka
Matt Sharifi
Blaise Agüera y Arcas
245
14
0
18 Dec 2023
FedCompetitors: Harmonious Collaboration in Federated Learning with
  Competing Participants
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
Shanli Tan
Hao Cheng
Xiaohu Wu
Han Yu
Tiantian He
Yew-Soon Ong
Chongjun Wang
Xiaofeng Tao
FedML
169
6
0
18 Dec 2023
A review of federated learning in renewable energy applications:
  Potential, challenges, and future directions
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup
Stefan Jonas
Angela Meyer
273
12
0
18 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized
  Decentralized Learning with Shared Representations
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Efstathia Soufleri
Gang Yan
Maroun Touma
Jian Li
297
9
0
17 Dec 2023
Communication-Efficient Soft Actor-Critic Policy Collaboration via
  Regulated Segment Mixture in Internet of Vehicles
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of VehiclesIEEE Internet of Things Journal (IEEE IoT J.), 2023
Xiaoxue Yu
Rongpeng Li
Chengchao Liang
Zhifeng Zhao
290
3
0
15 Dec 2023
FedSSA: Semantic Similarity-based Aggregation for Efficient
  Model-Heterogeneous Personalized Federated Learning
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Liping Yi
Han Yu
Zhuan Shi
Gang Wang
Xiaoguang Liu
Lizhen Cui
Xiaoxiao Li
FedML
470
15
0
14 Dec 2023
On Mask-based Image Set Desensitization with Recognition Support
On Mask-based Image Set Desensitization with Recognition Support
Qilong Li
Ji Liu
Yifan Sun
Chongsheng Zhang
Dejing Dou
CVBM
231
4
0
14 Dec 2023
Venn: Resource Management for Collaborative Learning Jobs
Venn: Resource Management for Collaborative Learning Jobs
Jiachen Liu
Fan Lai
Ding Ding
Yiwen Zhang
Mosharaf Chowdhury
FedML
268
1
0
13 Dec 2023
Efficient Cross-Domain Federated Learning by MixStyle Approximation
Efficient Cross-Domain Federated Learning by MixStyle Approximation
Manuel Roder
Leon Heller
Maximilian Münch
Frank-Michael Schleif
158
1
0
12 Dec 2023
Federated Full-Parameter Tuning of Billion-Sized Language Models with
  Communication Cost under 18 Kilobytes
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin
Daoyuan Chen
Bingchen Qian
Bolin Ding
Yaliang Li
Shuiguang Deng
FedML
366
56
0
11 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation
Exploiting Label Skews in Federated Learning with Model Concatenation
Yiqun Diao
Yue Liu
Bingsheng He
FedML
270
35
0
11 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented
  Generation
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
Rui Ye
Yaxin Du
Zhenyang Ni
Siheng Chen
Yanfeng Wang
FedML
177
8
0
10 Dec 2023
No prejudice! Fair Federated Graph Neural Networks for Personalized
  Recommendation
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
Nimesh Agrawal
Anuj Kumar Sirohi
Jayadeva
Sandeep Kumar
256
38
0
10 Dec 2023
Federated Learning Empowered by Generative Content
Federated Learning Empowered by Generative Content
Rui Ye
Xinyu Zhu
Jingyi Chai
Siheng Chen
Yanfeng Wang
FedML
168
3
0
10 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic
  Staleness-aware Model Update
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model UpdateAAAI Conference on Artificial Intelligence (AAAI), 2023
Ji Liu
Juncheng Jia
Tianshi Che
Chao Huo
Jiaxiang Ren
Yang Zhou
H. Dai
Dejing Dou
237
68
0
10 Dec 2023
QMGeo: Differentially Private Federated Learning via Stochastic
  Quantization with Mixed Truncated Geometric Distribution
QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution
Zixi Wang
M. C. Gursoy
FedML
225
2
0
10 Dec 2023
Sample-Optimal Locally Private Hypothesis Selection and the Provable
  Benefits of Interactivity
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of InteractivityAnnual Conference Computational Learning Theory (COLT), 2023
A. F. Pour
Hassan Ashtiani
S. Asoodeh
243
2
0
09 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic
  Tiering Approach
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach
Seyed Mahmoud Sajjadi Mohammadabadi
Syed Zawad
Feng Yan
Lei Yang
FedML
239
7
0
09 Dec 2023
Topology-Based Reconstruction Prevention for Decentralised Learning
Topology-Based Reconstruction Prevention for Decentralised LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2023
Florine W. Dekker
Z. Erkin
Mauro Conti
219
5
0
08 Dec 2023
AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning
  Without Compromise
AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise
Siqing Zhang
Yong Liao
Pengyuan Zhou
FedML
182
4
0
08 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
224
11
0
07 Dec 2023
Coordination-free Decentralised Federated Learning on Complex Networks:
  Overcoming Heterogeneity
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity
Lorenzo Valerio
Chiara Boldrini
A. Passarella
János Kertész
Márton Karsai
Gerardo Iniguez
FedML
235
5
0
07 Dec 2023
Improving Communication Efficiency of Federated Distillation via
  Accumulating Local Updates
Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Tian Wen
Wen Wang
FedML
291
2
0
07 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
Feifei Wang
Huiyun Tang
Yang Li
FedML
262
2
0
07 Dec 2023
A Masked Pruning Approach for Dimensionality Reduction in
  Communication-Efficient Federated Learning Systems
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems
Tamir L. S. Gez
Kobi Cohen
199
3
0
06 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine,
  Distributed and Federated Learning
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
Omer Subasi
Oceane Bel
Joseph Manzano
Kevin J. Barker
FedMLOODPINN
334
2
0
05 Dec 2023
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee
  for Federated Learning Service
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service
Meiying Zhang
Huan Zhao
Sheldon C Ebron
Ruitao Xie
Kan Yang
168
3
0
05 Dec 2023
Heroes: Lightweight Federated Learning with Neural Composition and
  Adaptive Local Update in Heterogeneous Edge Networks
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge NetworksIEEE Conference on Computer Communications (INFOCOM), 2023
Jiaming Yan
Jianchun Liu
Shilong Wang
Hong-Ze Xu
Haifeng Liu
Jianhua Zhou
FedML
209
8
0
04 Dec 2023
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