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2012.10936
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Toward Understanding the Influence of Individual Clients in Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
20 December 2020
Yihao Xue
Chaoyue Niu
Zhenzhe Zheng
Shaojie Tang
Chengfei Lv
Fan Wu
Guihai Chen
FedML
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Papers citing
"Toward Understanding the Influence of Individual Clients in Federated Learning"
18 / 18 papers shown
How to Evaluate Participant Contributions in Decentralized Federated Learning
Honoka Anada
Tatsuya Kaneko
Shinya Takamaeda-Yamazaki
FedML
194
0
0
29 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
447
1
0
05 May 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis
Ruijun Deng
Zhihui Lu
Qiang Duan
Shijing Hu
FedML
403
1
0
14 Apr 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
The Web Conference (WWW), 2025
Yi Liu
Cong Wang
Lizhen Qu
251
3
0
20 Feb 2025
A Potential Game Perspective in Federated Learning
Kang Liu
Ziqi Wang
Enrique Zuazua
FedML
305
2
0
18 Nov 2024
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
237
0
0
04 Oct 2024
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
FedML
AIFin
AI4CE
436
3
0
23 Apr 2024
SoK: Memorisation in machine learning
Dmitrii Usynin
Moritz Knolle
Georgios Kaissis
327
1
0
06 Nov 2023
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Alycia N. Carey
Minh-Hao Van
Xintao Wu
142
3
0
15 Sep 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
IEEE International Conference on Cloud Computing (CLOUD), 2023
Victoria Huang
S. Sohail
Michael Mayo
T. Lorido-Botran
Mark Rodrigues
Chris Anderson
Melanie Ooi
FedML
213
5
0
16 May 2023
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
European Interdisciplinary Cybersecurity Conference (IC), 2023
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
FedML
352
3
0
04 May 2023
Towards Interpretable Federated Learning
Anran Li
Rui Liu
Ming Hu
Anh Tuan Luu
Han Yu
AI4CE
FedML
196
17
0
27 Feb 2023
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach
Shijing Yuan
Hongze Liu
Hongtao Lv
Zhanbo Feng
Jie Li
Hongyang Chen
Chentao Wu
AI4CE
FedML
155
0
0
15 Feb 2023
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita
Satoshi Hara
FedML
261
2
0
05 Oct 2022
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning
Rahul Mishra
Hari Prabhat Gupta
Tanima Dutta
Sajal K. Das
193
3
0
03 Sep 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
BigData Congress [Services Society] (BSS), 2022
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
277
3
0
23 May 2022
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2021
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedML
AI4CE
275
150
0
20 Nov 2021
Quality Inference in Federated Learning with Secure Aggregation
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2020
Balázs Pejó
G. Biczók
FedML
339
27
0
13 Jul 2020
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