Personalized Federated Learning: A Meta-Learning Approach

19 February 2020

Asuman Ozdaglar

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

50 / 291 papers shown

Title
Multi-Task and Transfer Learning for Federated Learning Applications Cihat Keçeci M. Shaqfeh Hayat Mbayed E. Serpedin FedML 12 3 0 17 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
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 30 11 0 07 Jul 2022
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data Yousef Yeganeh Azade Farshad Johannes Boschmann Richard Gaus Maximilian Frantzen Nassir Navab FedML OOD 18 2 0 07 Jul 2022
FedHeN: Federated Learning in Heterogeneous Networks D. A. E. Acar Venkatesh Saligrama FedML 8 1 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
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation Zhiwen Zhang Hongjun Wang Jiyuan Chen Z. Fan Xuan Song Ryosuke Shibasaki FedML AI4TS 15 10 0 02 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
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 25 44 0 18 Jun 2022
Decoupled Federated Learning for ASR with Non-IID Data Hanjing Zhu Jindong Wang Gaofeng Cheng Pengyuan Zhang Yonghong Yan 15 10 0 18 Jun 2022
Federated Data Analytics: A Study on Linear Models Xubo Yue Raed Al Kontar Ana María Estrada Gómez FedML 21 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 25 63 0 08 Jun 2022
Straggler-Resilient Personalized Federated Learning Isidoros Tziotis Zebang Shen Ramtin Pedarsani Hamed Hassani Aryan Mokhtari FedML 27 9 0 05 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
Secure Federated Clustering Songze Li Sizai Hou Baturalp Buyukates A. Avestimehr FedML 23 9 0 31 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 24 74 0 27 May 2022
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 41 25 0 25 May 2022
Personalized Federated Learning with Multiple Known Clusters Boxiang Lyu Filip Hanzely Mladen Kolar FedML 25 3 0 28 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 16 26 0 17 Apr 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation Meirui Jiang Hongzheng Yang Chen Cheng Qianming Dou 21 32 0 16 Apr 2022
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Junbo Zhang Zeju Li Qing Liu FedML 19 24 0 14 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 16 88 0 11 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 36 11 0 25 Mar 2022
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong Haotao Wang Zhangyang Wang Jiayu Zhou FedML 6 56 0 18 Mar 2022
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence Arvin Tashakori Wenwen Zhang Z. Jane Wang Peyman Servati 17 19 0 15 Mar 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 15 19 0 23 Feb 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 23 9 0 20 Feb 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning Yixuan Li Xiaoqi Qin H. Chen K. Han Ping Zhang FedML 14 13 0 06 Feb 2022
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching Wonyong Jeong Sung Ju Hwang FedML 32 4 0 01 Feb 2022
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training Shenglai Zeng Zonghang Li Hongfang Yu Yihong He Zenglin Xu Dusit Niyato Han Yu FedML 41 19 0 31 Jan 2022
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 66 24 0 28 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 48 14 0 26 Jan 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems Renjie Gu Chaoyue Niu Yikai Yan Fan Wu Shaojie Tang Rongfeng Jia Chengfei Lyu Guihai Chen 6 9 0 24 Jan 2022
Feature-context driven Federated Meta-Learning for Rare Disease Prediction Bingyang Chen Tao Chen Xingjie Zeng Weishan Zhang Qinghua Lu Zhaoxiang Hou Jiehan Zhou A. Helal FedML 24 1 0 29 Dec 2021
SPIDER: Searching Personalized Neural Architecture for Federated Learning Erum Mushtaq Chaoyang He Jie Ding A. Avestimehr FedML 16 20 0 27 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition Chih-Ting Liu Chien-Yi Wang Shao-Yi Chien S. Lai FedML 16 36 0 23 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 26 4 0 10 Dec 2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving Manabu Nakanoya Junha Im Hang Qiu Sachin Katti Marco Pavone Sandeep P. Chinchali FedML 14 11 0 02 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 29 20 0 29 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 22 76 0 26 Nov 2021
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning Elnur Gasanov Ahmed Khaled Samuel Horváth Peter Richtárik FedML 22 16 0 22 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen X. Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 26 68 0 22 Nov 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 21 151 0 21 Nov 2021
An Expectation-Maximization Perspective on Federated Learning Christos Louizos M. Reisser Joseph B. Soriaga Max Welling FedML 23 11 0 19 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
Linear Speedup in Personalized Collaborative Learning El Mahdi Chayti Sai Praneeth Karimireddy Sebastian U. Stich Nicolas Flammarion Martin Jaggi FedML 13 13 0 10 Nov 2021
Implicit Model Specialization through DAG-based Decentralized Federated Learning Jossekin Beilharz Bjarne Pfitzner R. Schmid Paul Geppert Bernd Arnrich A. Polze FedML OOD 11 14 0 01 Nov 2021
Federated Learning with Heterogeneous Differential Privacy Nasser Aldaghri Hessam Mahdavifar Ahmad Beirami FedML 22 2 0 28 Oct 2021
Optimal Model Averaging: Towards Personalized Collaborative Learning Felix Grimberg Mary-Anne Hartley Sai Praneeth Karimireddy Martin Jaggi FedML MoMe 9 15 0 25 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun-Jie Luo Shandong Wu OOD MQ 60 75 0 15 Oct 2021