Think Locally, Act Globally: Federated Learning with Local and Global Representations

6 January 2020

Louis-Philippe Morency

FedML

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Papers citing "Think Locally, Act Globally: Federated Learning with Local and Global Representations"

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Deep Leakage from Model in Federated Learning Zihao Zhao Mengen Luo Wenbo Ding FedML 23 14 0 10 Jun 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 16 28 0 08 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
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 31 12 0 06 Jun 2022
Straggler-Resilient Personalized Federated Learning Isidoros Tziotis Zebang Shen Ramtin Pedarsani Hamed Hassani Aryan Mokhtari FedML 33 9 0 05 Jun 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 32 75 0 27 May 2022
Federated Split BERT for Heterogeneous Text Classification Zhengyang Li Shijing Si Jianzong Wang Jing Xiao FedML 33 21 0 26 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan Liangqiong Qu Qingyue Wei Shih-Cheng Huang Liyue Shen D. Rubin Lei Xing Yuyin Zhou FedML 78 90 0 17 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie Zhang Song Guo Wenchao Xu FedML 27 170 0 09 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 23 8 0 05 May 2022
A Closer Look at Personalization in Federated Image Classification Changxing Jing Yan Huang Yihong Zhuang Liyan Sun Yue Huang Zhenlong Xiao Xinghao Ding 35 1 0 22 Apr 2022
CD $^2$ -pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning Yiqing Shen Yuyin Zhou Lequan Yu OOD 24 55 0 08 Apr 2022
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 41 154 0 08 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 35 11 0 07 Apr 2022
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data Jingyu Pan Chen-Chia Chang Zhiyao Xie Ang Li Minxue Tang Tunhou Zhang Jiangkun Hu Yiran Chen FedML 19 8 0 30 Mar 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Dinesh Manocha Jing Jiang Chengqi Zhang FedML 39 46 0 13 Feb 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 30 43 0 27 Jan 2022
SPIDER: Searching Personalized Neural Architecture for Federated Learning Erum Mushtaq Chaoyang He Jie Ding A. Avestimehr FedML 24 20 0 27 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao Huazhu Fu OOD 40 78 0 09 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 21 61 0 01 Dec 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 27 87 0 17 Nov 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 24 32 0 09 Oct 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 35 30 0 16 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 24 18 0 16 Sep 2021
Multimodal Federated Learning on IoT Data Yuchen Zhao Payam Barnaghi Hamed Haddadi 13 74 0 10 Sep 2021
Federated Learning for Open Banking Guodong Long Yue Tan Jing Jiang Chengqi Zhang AIFin FedML 46 275 0 24 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 27 37 0 05 Aug 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 32 159 0 15 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 32 98 0 29 Jun 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data Paul Pu Liang Terrance Liu Anna Cai Michal Muszynski Ryo Ishii Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency 38 16 0 24 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 175 0 10 Jun 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 28 328 0 09 Jun 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 16 9 0 12 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 41 324 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
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 189 268 0 26 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 37 76 0 25 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 27 52 0 19 Feb 2021
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 43 37 0 16 Dec 2020
Heterogeneous Data-Aware Federated Learning Lixuan Yang Cedric Beliard Dario Rossi FedML 31 17 0 12 Nov 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings Raed Abdel Sater A. Ben Hamza 11 121 0 20 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 31 543 0 03 Oct 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets Ang Li Jingwei Sun Binghui Wang Lin Duan Sicheng Li Yiran Chen H. Li FedML 22 125 0 07 Aug 2020
Federated Mutual Learning T. Shen Jie Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Fei Wu Chao-Xiang Wu FedML 22 120 0 27 Jun 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 45 565 0 25 Feb 2020
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning Hsin-Pai Cheng P. Yu Haojing Hu Feng Yan Shiyu Li Hai Helen Li Yiran Chen FedML 32 23 0 27 Nov 2018