Lower Bounds and Optimal Algorithms for Personalized Federated Learning

5 October 2020

Papers citing "Lower Bounds and Optimal Algorithms for Personalized Federated Learning"

50 / 114 papers shown

Title
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
DPAUC: Differentially Private AUC Computation in Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 30 11 0 25 Aug 2022
Collaborative Algorithms for Online Personalized Mean Estimation Mahsa Asadi A. Bellet Odalric-Ambrym Maillard Marc Tommasi FedML 46 4 0 24 Aug 2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention Qianling Guo Yong Qi Saiyu Qi Di Wu Qian Li FedML 11 9 0 23 Aug 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
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus Amrit Singh Bedi Chen Fan Alec Koppel Anit Kumar Sahu Brian M. Sadler Furong Huang Dinesh Manocha FedML 19 3 0 22 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
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
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
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii Maxime Vono Eric Moulines Alain Durmus FedML 19 34 0 07 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Bernard Ghanem AAML FedML 18 7 0 06 Jun 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 73 14 0 26 May 2022
Differentially Private AUC Computation in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 48 5 0 24 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 33 8 0 23 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
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 22 26 0 17 Apr 2022
Divergence-aware Federated Self-Supervised Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 22 97 0 09 Apr 2022
A Contribution-based Device Selection Scheme in Federated Learning Shashi Raj Pandey L. Nguyen P. Popovski FedML 22 19 0 10 Mar 2022
Differentially Private Label Protection in Split Learning Xin Yang Jiankai Sun Yuanshun Yao Junyuan Xie Chong-Jun Wang FedML 39 36 0 04 Mar 2022
FedEmbed: Personalized Private Federated Learning Andrew Silva Katherine Metcalf N. Apostoloff B. Theobald FedML 11 6 0 18 Feb 2022
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! Konstantin Mishchenko Grigory Malinovsky Sebastian U. Stich Peter Richtárik 11 148 0 18 Feb 2022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks Sadegh Farhadkhani R. Guerraoui L. Hoang Oscar Villemaud FedML 11 24 0 17 Feb 2022
Personalized Federated Learning via Convex Clustering Aleksandar Armacki Dragana Bajović D. Jakovetić S. Kar FedML 16 16 0 01 Feb 2022
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 32 20 0 29 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 20 87 0 17 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 25 42 0 05 Nov 2021
Parameterized Knowledge Transfer for Personalized Federated Learning Jie M. Zhang Song Guo Xiaosong Ma Haozhao Wang Wencao Xu Feijie Wu 25 176 0 04 Nov 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 24 71 0 27 Oct 2021
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 35 162 0 25 Sep 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 31 26 0 13 Sep 2021
Private Multi-Task Learning: Formulation and Applications to Federated Learning Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 13 19 0 30 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 29 269 0 23 Aug 2021
Practical and Secure Federated Recommendation with Personalized Masks Liu Yang Ben Tan Bo Liu V. Zheng Kun Guo Kai Chen Qiang Yang FedML 21 16 0 18 Aug 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML MQ 24 56 0 29 Jul 2021
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 175 411 0 14 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
Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data Pravin Chandran Raghavendra Bhat Avinash Chakravarthi Srikanth Chandar FedML 19 4 0 28 Jun 2021
Personalized Federated Learning with Contextualized Generalization Xueyang Tang Song Guo Jingcai Guo FedML 13 38 0 24 Jun 2021
FedCM: Federated Learning with Client-level Momentum Jing Xu Sen Wang Liwei Wang Andrew Chi-Chih Yao FedML 22 94 0 21 Jun 2021
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning Jiyue Huang Chi Hong L. Chen Stefanie Roos FedML 9 9 0 20 Jun 2021
Decentralized Personalized Federated Learning for Min-Max Problems Ekaterina Borodich Aleksandr Beznosikov Abdurakhmon Sadiev V. Sushko Nikolay Savelyev Martin Takávc Alexander Gasnikov FedML 16 4 0 14 Jun 2021
Vertical Federated Learning without Revealing Intersection Membership Jiankai Sun Xin Yang Yuanshun Yao Aonan Zhang Weihao Gao Junyuan Xie Chong-Jun Wang FedML 23 37 0 10 Jun 2021
Strategyproof Learning: Building Trustworthy User-Generated Datasets Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 8 7 0 04 Jun 2021
On the Strategyproofness of the Geometric Median El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 15 18 0 04 Jun 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
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning A. Bellet Anne-Marie Kermarrec Erick Lavoie FedML 28 21 0 15 Apr 2021
Model-Contrastive Federated Learning Qinbin Li Bingsheng He D. Song FedML 22 1,005 0 30 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
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization Quoc Tran-Dinh Nhan H. Pham Dzung Phan Lam M. Nguyen FedML 16 39 0 05 Mar 2021