Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation

2 October 2020

Papers citing "Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation"

22 / 22 papers shown

Title
Scalable Decentralized Algorithms for Online Personalized Mean Estimation Franco Galante Giovanni Neglia Emilio Leonardi FedML 87 1 0 20 Feb 2025
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios Liangqi Lei Keke Gai Jing Yu Liehuang Zhu Qi Wu WIGM 67 0 0 18 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 88 5 0 17 Feb 2025
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models Benjamin Laufer Jon M. Kleinberg Hoda Heidari 60 8 0 03 Jan 2025
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 40 1 0 09 Oct 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 15 0 0 04 Sep 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 58 6 0 19 May 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection Yang Xu Yunlin Tan Cheng Zhang Kai Chi Peng Sun Wenyuan Yang Ju Ren Hongbo Jiang Yaoxue Zhang FedML 60 3 0 29 Feb 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 42 8 0 22 Jan 2024
$$\varepsilon$-fractional Core Stability in Hedonic Games$ $\varepsilon$ -fractional Core Stability in Hedonic Games Simone Fioravanti Michele Flammini Bojana Kodric Giovanna Varricchio 13 2 0 18 Nov 2023
Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 16 7 0 09 Jun 2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation Felipe Garrido-Lucero Benjamin Heymann Maxime Vono P. Loiseau Vianney Perchet FedML TDI 42 3 0 03 Jun 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization Florian E. Dorner Nikola Konstantinov Georgi Pashaliev Martin Vechev FedML 22 5 0 25 May 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 26 4 0 11 Apr 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Singh Kang Ramtin Pedarsani Kannan Ramchandran FedML 29 5 0 30 Jan 2023
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 33 45 0 10 Jul 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 25 7 0 26 May 2022
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 38 119 0 20 Nov 2021
Linear Speedup in Personalized Collaborative Learning El Mahdi Chayti Sai Praneeth Karimireddy Sebastian U. Stich Nicolas Flammarion Martin Jaggi FedML 21 13 0 10 Nov 2021
WAFFLE: Weighted Averaging for Personalized Federated Learning Martin Beaussart Felix Grimberg Mary-Anne Hartley Martin Jaggi FedML 24 16 0 13 Oct 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 13 45 0 17 Jun 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 544 0 30 Mar 2020