Salvaging Federated Learning by Local Adaptation

12 February 2020

Tao Yu

Papers citing "Salvaging Federated Learning by Local Adaptation"

50 / 139 papers shown

Title
Adaptive Latent-Space Constraints in Personalized FL Sana Ayromlou D. B. Emerson FedML 51 0 0 12 May 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 38 0 0 12 Apr 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 63 0 0 06 Mar 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning Guikun Chen Xu Zhang Yuqing Yang Wenguan Wang 47 0 0 26 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach Chaouki Ben Issaid Praneeth Vepakomma Mehdi Bennis 84 0 0 03 Feb 2025
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures Yicheng Zhang Zhen Qin Zhaomin Wu Jian Hou Shuiguang Deng 80 2 0 28 Nov 2024
DP $^2$ -FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization Zhenxiao Zhang Yuanxiong Guo Yanmin Gong FedML 38 0 0 20 Sep 2024
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study Ilias Siniosoglou Vasileios Argyriou G. Fragulis Panagiotis E. Fouliras Georgios Th. Papadopoulos A. Lytos Panagiotis G. Sarigiannidis 37 1 0 10 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 39 0 0 10 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 38 0 0 05 Sep 2024
Federated Representation Learning in the Under-Parameterized Regime Renpu Liu Cong Shen Jing Yang 26 4 0 07 Jun 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 35 2 0 23 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 40 5 0 22 May 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory Jingru Xie Chenqi Zhu Songze Li FedML CLL 32 0 0 19 Apr 2024
Improved Generalization Bounds for Communication Efficient Federated Learning Peyman Gholami H. Seferoglu FedML AI4CE 26 6 0 17 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes Xin-Chun Li Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao Yang Yang De-Chuan Zhan FedML 42 9 0 14 Apr 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 32 0 0 07 Mar 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning Yuchang Sun Marios Kountouris Jun Zhang FedML 39 2 0 24 Jan 2024
Formal Logic Enabled Personalized Federated Learning Through Property Inference Ziyan An Taylor T. Johnson Meiyi Ma 21 5 0 15 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 36 31 0 27 Dec 2023
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 43 3 0 18 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data Feifei Wang Huiyun Tang Yang Li FedML 29 0 0 07 Dec 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 31 4 0 26 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 35 2 0 17 Oct 2023
PAGE: Equilibrate Personalization and Generalization in Federated Learning Qian Chen Zilong Wang Jiaqi Hu Haonan Yan Jianying Zhou Xiao-La Lin FedML 41 4 0 13 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 34 9 0 06 Oct 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning Zebang Shen Jiayuan Ye Anmin Kang Hamed Hassani Reza Shokri FedML 34 16 0 11 Sep 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning Yanqi Qiao Dazhuang Liu Congwen Chen Rui Wang Kaitai Liang FedML AAML 38 1 0 31 Aug 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning Yaodong Yu Sai Praneeth Karimireddy Yi Ma Michael I. Jordan FedML 29 3 0 25 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 42 22 0 17 Jun 2023
FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts Chen Dun Mirian Hipolito Garcia Guoqing Zheng Ahmed Hassan Awadallah Robert Sim Anastasios Kyrillidis Dimitrios Dimitriadis FedML MoE 24 6 0 14 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 26 2 0 13 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 39 0 0 29 May 2023
Distributed Learning over Networks with Graph-Attention-Based Personalization Zhuojun Tian Zhaoyang Zhang Zhaohui Yang Richeng Jin H. Dai GNN FedML 22 6 0 22 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 26 17 0 10 May 2023
Now It Sounds Like You: Learning Personalized Vocabulary On Device Sida Wang Ashish Shenoy P. Chuang John Nguyen VLM 38 2 0 05 May 2023
Can Fair Federated Learning reduce the need for Personalisation? Ferhat Ozgur Catak Pedro Gusmão S. Sarp FedML 12 1 0 04 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Shitian Zhao Mingda Zhang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 30 7 0 16 Apr 2023
A Comparative Study of Federated Learning Models for COVID-19 Detection Erfan Darzidehkalani N. Sijtsema P. V. Ooijen FedML OOD 16 4 0 28 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients Manas Wadhwa Gagan Raj Gupta Ashutosh Sahu Rahul Saini Vidhi Mittal FedML 19 6 0 19 Mar 2023
Visual Prompt Based Personalized Federated Learning Guang-Ming Li Wansen Wu Yan Sun Li Shen Baoyuan Wu Dacheng Tao FedML VLM 23 18 0 15 Mar 2023
Optimization Design for Federated Learning in Heterogeneous 6G Networks Bing Luo Xiaomin Ouyang Peng Sun Pengchao Han Ningning Ding Jianwei Huang 29 13 0 15 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 21 9 0 12 Mar 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu Xixu Hu Jindong Wang Xingxu Xie FedML VLM 27 52 0 27 Feb 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 56 12 0 21 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 21 10 0 13 Feb 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 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
PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo Matías Mendieta Cheng Chen Shan-Jyun Wu FedML 35 9 0 02 Dec 2022