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"

50 / 308 papers shown

Title
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings Andrew Silva Pradyumna Tambwekar Matthew C. Gombolay FedML 11 0 0 07 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 35 7 0 06 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 26 2 0 04 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 32 6 0 03 Oct 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks Mahdi Morafah Saeed Vahidian C. L. P. Chen M. Shah Bill Lin FedML 54 47 0 30 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q. S. Quek 31 12 0 27 Sep 2022
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning Xin Yang Omid Ardakanian 22 3 0 24 Sep 2022
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev C. L. P. Chen M. Shah Bill Lin FedML 44 45 0 21 Sep 2022
Personalized Federated Learning with Communication Compression El Houcine Bergou Konstantin Burlachenko Aritra Dutta Peter Richtárik FedML 72 9 0 12 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
Modular Federated Learning Kuo-Yun Liang A. Srinivasan J. C. Andresen FedML 24 7 0 07 Sep 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs Taolin Zhang Chuan Chen Yaomin Chang Lin Shu Zibin Zheng FedML 23 14 0 29 Aug 2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention Qianling Guo Yong Qi Saiyu Qi Di Wu Qian Li FedML 13 9 0 23 Aug 2022
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution Mahdi Morafah Saeed Vahidian Weijia Wang Bill Lin OOD FedML 16 37 0 20 Aug 2022
Federated Learning of Neural ODE Models with Different Iteration Counts Yuto Hoshino Hiroki Kawakami Hiroki Matsutani FedML 10 0 0 19 Aug 2022
Knowledge-Injected Federated Learning Zhenan Fan Zirui Zhou Jian Pei M. Friedlander Jiajie Hu Chengliang Li Yong Zhang FedML 25 4 0 16 Aug 2022
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation Chenhao Xu Youyang Qu Tom H. Luan Peter W. Eklund Yong Xiang Longxiang Gao 23 34 0 15 Aug 2022
Prospects of federated machine learning in fluid dynamics Omer San Suraj Pawar Adil Rasheed FedML AI4CE 19 4 0 15 Aug 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 22 9 0 21 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 16 27 0 18 Jul 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 29 6 0 16 Jul 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels Yaodong Yu Alexander Wei Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 15 30 0 13 Jul 2022
Multi-Model Federated Learning with Provable Guarantees Neelkamal Bhuyan Sharayu Moharir Gauri Joshi FedML 21 14 0 09 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 23 2 0 09 Jul 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 32 11 0 07 Jul 2022
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy Kaan Ozkara Antonious M. Girgis Deepesh Data Suhas Diggavi FedML 14 3 0 05 Jul 2022
An Empirical Study of Personalized Federated Learning Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka OOD FedML 19 6 0 27 Jun 2022
Decoupled Federated Learning for ASR with Non-IID Data Hanjing Zhu Jindong Wang Gaofeng Cheng Pengyuan Zhang Yonghong Yan 23 10 0 18 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 20 51 0 16 Jun 2022
Federated Data Analytics: A Study on Linear Models Xubo Yue Raed Al Kontar Ana María Estrada Gómez FedML 23 12 0 15 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 27 63 0 08 Jun 2022
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii Maxime Vono Eric Moulines Alain Durmus FedML 19 34 0 07 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 20 130 0 06 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 29 12 0 06 Jun 2022
Straggler-Resilient Personalized Federated Learning Isidoros Tziotis Zebang Shen Ramtin Pedarsani Hamed Hassani Aryan Mokhtari FedML 31 9 0 05 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 21 6 0 03 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 11 111 0 01 Jun 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 79 43 0 22 May 2022
E2FL: Equal and Equitable Federated Learning Hamid Mozaffari Amir Houmansadr FedML 14 10 0 20 May 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Tianyi Zhou Guodong Long Bo Han Jing Jiang FedML 27 19 0 20 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie M. Zhang Song Guo Wenchao Xu FedML 16 170 0 09 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 21 8 0 05 May 2022
Personalized Federated Learning with Multiple Known Clusters Boxiang Lyu Filip Hanzely Mladen Kolar FedML 25 3 0 28 Apr 2022
A Closer Look at Personalization in Federated Image Classification Changxing Jing Yan Huang Yihong Zhuang Liyan Sun Yue Huang Zhenlong Xiao Xinghao Ding 27 1 0 22 Apr 2022
Efficient Wireless Federated Learning with Partial Model Aggregation Zhixiong Chen Wenqiang Yi A. Nallanathan Geoffrey Ye Li 42 10 0 20 Apr 2022
Divergence-aware Federated Self-Supervised Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 22 97 0 09 Apr 2022
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 39 154 0 08 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 57 66 0 06 Apr 2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Hipolito Garcia Andre Manoel Daniel Madrigal Diaz Fatemehsadat Mireshghallah Robert Sim Dimitrios Dimitriadis FedML 20 57 0 25 Mar 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 36 11 0 25 Mar 2022