One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning

4 March 2021

Papers citing "One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning"

31 / 31 papers shown

Title
Incentivizing High-quality Participation From Federated Learning Agents Jinlong Pang Jiaheng Wei Yifan Hua Chen Qian Yang Liu FedML 14 0 0 20 Jun 2025
A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing Alex Clinton Thomas Zeng Yiding Chen Xiaojin Zhu Kirthevasan Kandasamy 14 0 0 08 Jun 2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners Drashthi Doshi Aditya Vema Reddy Kesari Swaprava Nath Avishek Ghosh Suhas S Kowshik FedML Presented at ResearchTrend Connect \| FedML on 18 Jun 2025 109 0 0 17 May 2025
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 130 0 0 30 Apr 2025
The Backfiring Effect of Weak AI Safety Regulation Benjamin Laufer Jon Kleinberg Hoda Heidari 120 0 0 26 Mar 2025
Defection-Free Collaboration between Competitors in a Learning System Mariel A. Werner Sai Praneeth Karimireddy Michael I. Jordan FedML 102 1 0 22 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 110 2 0 04 Jun 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? Marco Bornstein Amrit Singh Bedi Abdirisak Mohamed Furong Huang FedML 127 0 0 22 May 2024
Incentivized Truthful Communication for Federated Bandits Zhepei Wei Chuanhao Li Tianze Ren Haifeng Xu Hongning Wang FedML 58 2 0 07 Feb 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning Yuchang Sun Marios Kountouris Jun Zhang FedML 92 3 0 24 Jan 2024
Optimal Multi-Distribution Learning Zihan Zhang Wenhao Zhan Yuxin Chen Simon S. Du Jason D. Lee 90 14 0 08 Dec 2023
The sample complexity of multi-distribution learning Binghui Peng 117 9 0 07 Dec 2023
On the Effect of Defections in Federated Learning and How to Prevent Them Minbiao Han Kumar Kshitij Patel Han Shao Lingxiao Wang FedML 75 3 0 28 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 84 2 0 08 Nov 2023
Dynamic Fair Federated Learning Based on Reinforcement Learning Weikang Chen Junping Du Yingxia Shao Jia Wang Yangxi Zhou FedML 60 3 0 02 Nov 2023
Incentivized Collaboration in Active Learning Lee Cohen Han Shao FedML 153 0 0 01 Nov 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning Yaodong Yu Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 77 4 0 25 Jul 2023
Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 45 9 0 09 Jun 2023
Strategic Data Sharing between Competitors Nikita Tsoy Nikola Konstantinov FedML 81 6 0 25 May 2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain Zhibo Xing Zijian Zhang Meng Li Jing Liu Liehuang Zhu Giovanni Russello M. R. Asghar 43 19 0 12 Apr 2023
Probably Approximately Correct Federated Learning Xiaojin Zhang Anbu Huang Lixin Fan Kai Chen Qiang Yang FedML 74 5 0 10 Apr 2023
Federated Learning as a Network Effects Game Shengyuan Hu Dung Daniel Ngo Shuran Zheng Virginia Smith Zhiwei Steven Wu FedML 44 4 0 16 Feb 2023
On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab Michael I. Jordan Eric Zhao FedML 149 38 0 22 Oct 2022
Anchor Sampling for Federated Learning with Partial Client Participation Feijie Wu Song Guo Zhihao Qu Shiqi He Ziming Liu Jing Gao FedML 76 14 0 13 Jun 2022
Maximizing Global Model Appeal in Federated Learning Yae Jee Cho Divyansh Jhunjhunwala Tian Li Virginia Smith Gauri Joshi FedML 62 7 0 30 May 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 116 7 0 26 May 2022
Long-term Data Sharing under Exclusivity Attacks Yotam gafni Moshe Tennenholtz 44 2 0 22 Jan 2022
Models of fairness in federated learning Kate Donahue Jon M. Kleinberg FedML 99 11 0 01 Dec 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 58 49 0 17 Jun 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 172 126 0 24 Oct 2020
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation Kate Donahue Jon M. Kleinberg FedML 86 82 0 02 Oct 2020