Adaptive Personalized Federated Learning

30 March 2020

Yuyang Deng

Mohammad Mahdi Kamani

M. Mahdavi

FedML

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Papers citing "Adaptive Personalized Federated Learning"

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Title
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 178 411 0 14 Jul 2021
Federated Mixture of Experts M. Reisser Christos Louizos E. Gavves Max Welling FedML 20 25 0 14 Jul 2021
IFedAvg: Interpretable Data-Interoperability for Federated Learning David Roschewitz Mary-Anne Hartley Luca Corinzia Martin Jaggi FedML 22 7 0 14 Jul 2021
Sparse Personalized Federated Learning Xiaofeng Liu Yinchuan Li Qing Wang Xu Zhang Yunfeng Shao Yanhui Geng FedML 33 6 0 12 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 Jul 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 24 98 0 29 Jun 2021
A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points Lili Su Jiaming Xu Pengkun Yang FedML 14 13 0 29 Jun 2021
Personalized Federated Learning with Contextualized Generalization Xueyang Tang Song Guo Jingcai Guo FedML 15 38 0 24 Jun 2021
Compositional federated learning: Applications in distributionally robust averaging and meta learning Feihu Huang Junyi Li FedML 14 15 0 21 Jun 2021
Towards Heterogeneous Clients with Elastic Federated Learning Zichen Ma Yu Lu Zihan Lu Wenye Li Jinfeng Yi Shuguang Cui FedML 11 3 0 17 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 26 766 0 12 Jun 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh Sangmook Kim Se-Young Yun FedML 26 200 0 04 Jun 2021
Unifying Distillation with Personalization in Federated Learning Siddharth Divi Habiba Farrukh Berkay Çelik FedML 21 5 0 31 May 2021
Concept drift detection and adaptation for federated and continual learning F. Casado Dylan Lema Marcos F. Criado R. Iglesias Carlos V. Regueiro S. Barro FedML 6 63 0 27 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 44 243 0 29 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 15 44 0 21 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 42 46 0 20 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications Sangsu Lee Xi Zheng Jie Hua H. Vikalo Christine Julien FedML 13 25 0 24 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 8 9 0 12 Mar 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems Chenhao Xu Jiaqi Ge Yong Li Yao Deng Longxiang Gao Mengshi Zhang Yong Xiang Xi Zheng FedML 25 14 0 12 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 25 324 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Federated Multi-armed Bandits with Personalization Chengshuai Shi Cong Shen Jing Yang FedML 11 83 0 25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 34 76 0 25 Feb 2021
Distributionally Robust Federated Averaging Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 6 140 0 25 Feb 2021
QuPeL: Quantized Personalization with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML 22 5 0 23 Feb 2021
Federated $f$ -Differential Privacy Qinqing Zheng Shuxiao Chen Qi Long Weijie J. Su FedML 72 55 0 22 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 21 52 0 19 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization Canh T. Dinh Thanh Tung Vu N. H. Tran Minh N. Dao Hongyu Zhang FedML 65 40 0 14 Feb 2021
Exploiting Shared Representations for Personalized Federated Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML OOD 26 692 0 14 Feb 2021
Federated Reconstruction: Partially Local Federated Learning K. Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash FedML 22 138 0 05 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling Wentai Wu Ligang He Weiwei Lin Carsten Maple FedML 30 1 0 02 Feb 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 38 22 0 31 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 30 37 0 16 Dec 2020
More Industry-friendly: Federated Learning with High Efficient Design Dingwei Li Qinglong Chang Lixue Pang Yanfang Zhang Xudong Sun Jikun Ding Liang Zhang FedML 14 1 0 16 Dec 2020
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 27 290 0 15 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 85 115 0 08 Dec 2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring Gautham Krishna Gudur S. K. Perepu FedML 6 37 0 04 Dec 2020
Edge-assisted Democratized Learning Towards Federated Analytics Shashi Raj Pandey Minh N. H. Nguyen Tri Nguyen Dang N. H. Tran K. Thar Zhu Han C. Hong FedML 12 22 0 01 Dec 2020
LINDT: Tackling Negative Federated Learning with Local Adaptation Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu FedML 11 0 0 23 Nov 2020
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 26 57 0 17 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 6 19 0 06 Nov 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 36 186 0 05 Oct 2020
Specialized federated learning using a mixture of experts Edvin Listo Zec Olof Mogren John Martinsson L. R. Sütfeld D. Gillblad FedML 20 29 0 05 Oct 2020
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation Kate Donahue Jon M. Kleinberg FedML 16 78 0 02 Oct 2020
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling Cheng Chen Ziyi Chen Yi Zhou B. Kailkhura FedML 20 60 0 22 Sep 2020
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization Achintya Kundu Pengqian Yu L. Wynter Shiau Hong Lim FedML 14 14 0 14 Sep 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 12 590 0 07 Jul 2020
Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems Minh N. H. Nguyen Shashi Raj Pandey Tri Nguyen Dang Eui-nam Huh N. H. Tran Walid Saad C. Hong FedML 14 30 0 07 Jul 2020