FL Games: A Federated Learning Framework for Distribution Shifts

FL Games: A Federated Learning Framework for Distribution Shifts

31 October 2022

Mohammad Havaei

Papers citing "FL Games: A Federated Learning Framework for Distribution Shifts"

18 / 18 papers shown

Title
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization Behraj Khan Behroz Mirza Nouman Durrani T. Syed 60 0 0 18 Feb 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization Zhiyuan Wu Changkyu Choi Xiangcheng Cao V. Cevher Ali Ramezani-Kebrya 81 0 0 04 Feb 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 0 0 19 Nov 2024
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency Ahmed Imteaj Md Zarif Hossain Saika Zaman Abdur R. Shahid VLM 21 1 0 09 Sep 2024
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Jindong Wang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 70 8 0 08 Oct 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos V. Cevher FedML OOD 23 6 0 08 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 42 29 0 02 Jun 2023
Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations Charbel Bou Chaaya S. Samarakoon M. Bennis OOD 22 0 0 02 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
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 36 10 0 11 Apr 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu Xixu Hu Jindong Wang Xingxu Xie FedML VLM 27 52 0 27 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 68 24 0 28 Jan 2022
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization Junkun Yuan Xu Ma Defang Chen Fei Wu Lanfen Lin Kun Kuang FedML 35 22 0 13 Oct 2021
Gradient Masked Federated Optimization Irene Tenison Sreya Francis Irina Rish FedML 20 2 0 21 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 198 125 0 04 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020