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Fair Decentralized Learning

3 October 2024

Papers citing "Fair Decentralized Learning"

41 / 41 papers shown

Title
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong Gang Yan Shiqiang Wang Jian Li 91 6 0 17 Dec 2023
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication M. Vos Sadegh Farhadkhani R. Guerraoui Anne-Marie Kermarrec Rafael Pires Rishi Sharma 105 17 0 03 Oct 2023
SecureCyclon: Dependable Peer Sampling Alexandros Antonov Spyros Voulgaris 29 6 0 06 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 61 11 0 01 Sep 2023
Decentralized Learning Made Easy with DecentralizePy Akash Dhasade Anne-Marie Kermarrec Rafael Pires Rishi Sharma Milos Vujasinovic 62 15 0 17 Apr 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification Julien Rouzot Julien Ferry Marie-José Huguet FaML 185 9 0 11 Apr 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 86 257 0 15 Nov 2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Yang Lu Zhengxin Yu N. Suri FedML 79 15 0 01 Oct 2022
Decentralized adaptive clustering of deep nets is beneficial for client collaboration Edvin Listo Zec Ebba Ekblom Martin Willbo Olof Mogren Sarunas Girdzijauskas OOD FedML 54 8 0 17 Jun 2022
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging Edwige Cyffers Mathieu Even A. Bellet Laurent Massoulié FedML 132 26 0 10 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 69 117 0 01 Jun 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning Dario Pasquini Mathilde Raynal Carmela Troncoso OOD FedML 87 23 0 17 May 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 92 47 0 23 Jan 2022
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Quoc-Viet Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre Won Joo Hwang FedML 83 556 0 16 Nov 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 93 211 0 02 Oct 2021
Decentralized federated learning of deep neural networks on non-iid data Noa Onoszko Gustav Karlsson Olof Mogren Edvin Listo Zec FedML OOD 37 46 0 18 Jul 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 337 881 0 01 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 140 151 0 01 Mar 2021
Exploiting Shared Representations for Personalized Federated Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML OOD 105 732 0 14 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 168 996 0 03 Feb 2021
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 91 301 0 15 Dec 2020
Fairness-aware Agnostic Federated Learning Wei Du Depeng Xu Xintao Wu Hanghang Tong FedML 90 131 0 10 Oct 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 105 615 0 07 Jul 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 113 873 0 07 Jun 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 230 331 0 19 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 274 1,802 0 18 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 140 579 0 25 Feb 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 122 569 0 06 Jan 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 173 1,013 0 04 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 192 573 0 01 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 601 4,414 0 23 Aug 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 164 1,426 0 03 Dec 2018
Stochastic Gradient Push for Distributed Deep Learning Mahmoud Assran Nicolas Loizou Nicolas Ballas Michael G. Rabbat 110 347 0 27 Nov 2018
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 153 2,743 0 26 Jun 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian Ce Zhang Huan Zhang Cho-Jui Hsieh Wei Zhang Ji Liu 94 1,234 0 25 May 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 66 1,001 0 27 Mar 2017
Decentralized Collaborative Learning of Personalized Models over Networks Paul Vanhaesebrouck A. Bellet Marc Tommasi FedML 72 231 0 17 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,342 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 455 17,708 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,819 0 10 Dec 2015
Gossip Learning with Linear Models on Fully Distributed Data Róbert Ormándi István Hegedüs Márk Jelasity FedML OOD 117 170 0 07 Sep 2011