Personalized Federated Learning: A Meta-Learning Approach

19 February 2020

Asuman Ozdaglar

Papers citing "Personalized Federated Learning: A Meta-Learning Approach"

41 / 291 papers shown

Title
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning Bleema Rosenfeld Bipin Rajendran Osvaldo Simeone OffRL 17 10 0 21 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 19 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 17 691 0 14 Feb 2021
Federated Reconstruction: Partially Local Federated Learning K. Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash FedML 14 138 0 05 Feb 2021
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models Ruiyuan Wu Anna Scaglione Hoi-To Wai Nurullah Karakoç Kari Hreinsson Wing-Kin Ma FedML 6 19 0 27 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 23 37 0 16 Dec 2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 21 44 0 16 Dec 2020
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 19 290 0 15 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 17 24 0 15 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 72 0 0 08 Dec 2020
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation Lushan Song Guopeng Lin Jiaxuan Wang Haoqi Wu Wenqiang Ruan Weili Han 21 9 0 06 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
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence Zhaolin Ren Aoxiao Zhong Na Li 9 3 0 03 Nov 2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning Mert Kayaalp Stefan Vlaski A. H. Sayed 12 28 0 06 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 24 186 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 12 29 0 05 Oct 2020
WAFFLe: Weight Anonymized Factorization for Federated Learning Weituo Hao Nikhil Mehta Kevin J Liang Pengyu Cheng Mostafa El-Khamy Lawrence Carin FedML 27 12 0 13 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence Ahnaf Hannan Lodhi Barış Akgün Öznur Özkasap 26 5 0 03 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 564 0 27 Jul 2020
Prioritized Multi-Criteria Federated Learning V. W. Anelli Yashar Deldjoo T. D. Noia Antonio Ferrara FedML 9 9 0 17 Jul 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
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 12 271 0 02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 12 54 0 02 Jul 2020
FedCD: Improving Performance in non-IID Federated Learning Kavya Kopparapu Eric Lin Jessica Zhao FedML 18 35 0 17 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 22 965 0 16 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin K. Ramchandran FedML 24 834 0 07 Jun 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions Yi Liu Xingliang Yuan Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato FedML AI4CE 10 279 0 04 Jun 2020
Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts Surin Ahn Ayfer Özgür Mert Pilanci 6 0 0 21 May 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 186 542 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 171 324 0 19 Mar 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad C. Hong 6 14 0 18 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 23 199 0 06 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 34 565 0 25 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 6 260 0 12 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 57 6,057 0 10 Dec 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 27 70 0 18 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 0 28 Sep 2019
On Consensus-Optimality Trade-offs in Collaborative Deep Learning Zhanhong Jiang Aditya Balu C. Hegde S. Sarkar FedML 8 6 0 30 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 278 11,677 0 09 Mar 2017