LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

7 August 2020

Yiran Chen

Papers citing "LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets"

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Title
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity Zhuojun Tian Zhaoyang Zhang Yiwei Li Mehdi Bennis 32 0 0 24 Apr 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 48 0 0 15 Mar 2025
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing Yuhu Feng Keisuke Maeda Takahiro Ogawa Miki Haseyama FedML EgoV 67 0 0 25 Feb 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 3 0 19 Nov 2024
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation Ziwei Zhan Wenkuan Zhao Yuanqing Li Weijie Liu Xiaoxi Zhang Chee Wei Tan Chuan Wu Deke Guo Xu Chen MoE 45 1 0 04 Nov 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 59 0 0 03 Oct 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 48 3 0 28 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning Yuxin Yang Qiang Li Chenfei Nie Yuan Hong Meng Pang Binghui Wang AAML FedML 39 1 0 21 Jul 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 40 0 0 31 May 2024
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning Riyasat Ohib Bishal Thapaliya Gintare Karolina Dziugaite Jingyu Liu Vince D. Calhoun Sergey Plis FedML 32 1 0 15 May 2024
Gradient-Congruity Guided Federated Sparse Training Chris Xing Tian Yibing Liu Haoliang Li Ray C.C. Cheung Shiqi Wang FedML 31 1 0 02 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 75 7 0 23 Apr 2024
A Survey of Lottery Ticket Hypothesis Bohan Liu Zijie Zhang Peixiong He Zhensen Wang Yang Xiao Ruimeng Ye Yang Zhou Wei-Shinn Ku Bo Hui UQCV 39 12 0 07 Mar 2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training Herbert Woisetschläger Alexander Isenko Shiqiang Wang R. Mayer Hans-Arno Jacobsen FedML 65 23 0 09 Jan 2024
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks Jiaming Yan Jianchun Liu Shilong Wang Hong-Ze Xu Haifeng Liu Jianhua Zhou FedML 27 3 0 04 Dec 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 79 3 0 29 Nov 2023
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning Tianyue Chu Mengwei Yang Nikolaos Laoutaris A. Markopoulou 36 4 0 30 Oct 2023
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach Zhou Ni Morteza Hashemi FedML 36 1 0 29 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 10 0 0 11 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao Zihan Chen Songshan Liu Hualiang Wang Yang Feng Jinxiang Hao Qiufeng Wang Jian Wu Howard H. Yang Zuo-Qiang Liu FedML 29 10 0 11 Oct 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 32 7 0 28 Jul 2023
FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning Rishub Tamirisa John Won Chengjun Lu Ron Arel Andy Zhou FedML 28 3 0 23 Jun 2023
Adaptive Compression in Federated Learning via Side Information Berivan Isik Francesco Pase Deniz Gunduz Sanmi Koyejo Tsachy Weissman M. Zorzi FedML 31 9 0 22 Jun 2023
Phoenix: A Federated Generative Diffusion Model Fiona Victoria Stanley Jothiraj A. Mashhadi DiffM 37 18 0 07 Jun 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 35 111 0 09 May 2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing Yi Shi Kang Wei Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo 41 5 0 02 May 2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training Riyasat Ohib Bishal Thapaliya Pratyush Gaggenapalli Jiaheng Liu Vince D. Calhoun Sergey Plis FedML 21 2 0 15 Apr 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning Xiaopeng Jiang Cristian Borcea FedML 31 15 0 10 Mar 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
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design Yikai Yan Chaoyue Niu Fan Wu Qinya Li Shaojie Tang Chengfei Lyu Guihai Chen 29 0 0 11 Nov 2022
Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik Francesco Pase Deniz Gunduz Tsachy Weissman M. Zorzi FedML 70 52 0 30 Sep 2022
Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge Sara Babakniya Souvik Kundu Saurav Prakash Yue Niu Salman Avestimehr FedML 28 9 0 27 Aug 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 22 111 0 01 Jun 2022
E2FL: Equal and Equitable Federated Learning Hamid Mozaffari Amir Houmansadr FedML 14 10 0 20 May 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 27 26 0 17 Apr 2022
Rare Gems: Finding Lottery Tickets at Initialization Kartik K. Sreenivasan Jy-yong Sohn Liu Yang Matthew Grinde Alliot Nagle Hongyi Wang Eric P. Xing Kangwook Lee Dimitris Papailiopoulos 27 42 0 24 Feb 2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? Sheikh Shams Azam Seyyedali Hosseinalipour Qiang Qiu Christopher G. Brinton FedML 20 20 0 01 Feb 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 30 43 0 27 Jan 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better Sameer Bibikar H. Vikalo Zhangyang Wang Xiaohan Chen FedML 35 95 0 18 Dec 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective Jingwei Sun Ang Li Louis DiValentin Amin Hassanzadeh Yiran Chen H. Li FedML OOD AAML 13 76 0 26 Oct 2021
FRL: Federated Rank Learning Hamid Mozaffari Virat Shejwalkar Amir Houmansadr FedML 13 11 0 08 Oct 2021
Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics Natascha Harth Hans-Jörg Vögel Kostas Kolomvatsos Christos Anagnostopoulos 15 12 0 25 Sep 2021
Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis Zeyuan Yin Ye Yuan Panfeng Guo Pan Zhou FedML 40 7 0 22 Sep 2021
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update Junyu Luo Jianlei Yang Xucheng Ye Xin Guo Weisheng Zhao FedML 20 14 0 20 Aug 2021
New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning Siddharth Divi Yi-Shan Lin Habiba Farrukh Z. Berkay Celik FedML 19 17 0 28 Jul 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 13 84 0 16 Jul 2021
Unifying Distillation with Personalization in Federated Learning Siddharth Divi Habiba Farrukh Berkay Çelik FedML 29 5 0 31 May 2021
Communication-Efficient and Personalized Federated Lottery Ticket Learning Sejin Seo Seung-Woo Ko Jihong Park Seong-Lyun Kim M. Bennis FedML 47 15 0 26 Apr 2021
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning Bo-Lu Zhao Peng Sun Liming Fang Tao Wang Ke Jiang FedML 24 3 0 16 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications Sangsu Lee Xi Zheng Jie Hua H. Vikalo Christine Julien FedML 29 25 0 24 Mar 2021