Salvaging Federated Learning by Local Adaptation

12 February 2020

Tao Yu

Papers citing "Salvaging Federated Learning by Local Adaptation"

46 / 46 papers shown

Title
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 31 0 0 12 Apr 2025
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 31 0 0 10 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 31 0 0 05 Sep 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 22 0 0 07 Mar 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 28 31 0 27 Dec 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 21 4 0 26 Oct 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 33 244 0 20 Jul 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 35 31 0 01 Jan 2023
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 23 92 0 15 Nov 2022
Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains Mohammad Ismail Daud 22 1 0 08 Oct 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
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 39 14 0 07 Sep 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 16 27 0 18 Jul 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 33 58 0 17 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
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Bernard Ghanem AAML FedML 18 7 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
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 24 75 0 27 May 2022
Training a Tokenizer for Free with Private Federated Learning Eugene Bagdasaryan Congzheng Song Rogier van Dalen M. Seigel Áine Cahill FedML 14 5 0 15 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 23 9 0 20 Feb 2022
Architecture Agnostic Federated Learning for Neural Networks Disha Makhija Xing Han Nhat Ho Joydeep Ghosh FedML 21 40 0 15 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian Raouf Kerkouche I. Kurth Mario Fritz FedML 8 11 0 08 Feb 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 32 21 0 07 Feb 2022
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 20 87 0 17 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
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
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 Learning for Open Banking Guodong Long Yue Tan Jing Jiang Chengqi Zhang AIFin FedML 29 275 0 24 Aug 2021
Federated Multi-Target Domain Adaptation Chun-Han Yao Boqing Gong Yin Cui Qi Yukun Zhu Ming-Hsuan Yang OOD FedML 11 63 0 17 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 25 37 0 05 Aug 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 173 411 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
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 11 45 0 17 Jun 2021
Privacy Assessment of Federated Learning using Private Personalized Layers T. Jourdan A. Boutet Carole Frindel FedML 29 7 0 15 Jun 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 27 78 0 08 Jun 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 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
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 38 22 0 31 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 27 37 0 16 Dec 2020
Federated Mutual Learning T. Shen Jie M. Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Fei Wu Chao-Xiang Wu FedML 12 119 0 27 Jun 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 186 542 0 30 Mar 2020
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks Claude Rosin Ngueveu A. Boutet Carole Frindel Sébastien Gambs T. Jourdan Claude Rosin Ngueveu 22 27 0 23 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 171 326 0 19 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
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 6 555 0 01 Oct 2019
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,032 0 29 Nov 2018