Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models Xiaochen Wang Jiaqi Wang Houping Xiao Jianfei Chen Fenglong Ma MedIm 69 7 0 17 Aug 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 58 6 0 16 Aug 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Alessio Mora Lorenzo Valerio Paolo Bellavista A. Passarella FedML MU 64 2 0 14 Aug 2024
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 38 0 0 12 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 40 0 0 11 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 49 0 0 09 Aug 2024
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation Mothilal Asokan Difei Gao Joya Chen Mike Zheng Shou FedML MedIm 41 1 0 31 Jul 2024
FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication Yuna Yan Xin Zhang Lixin Li Wensheng Lin Rui Li Wenchi Cheng Zhu Han FedML 35 0 0 31 Jul 2024
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models Wentao Gao Omid Tavallaie Shuaijun Chen Albert Zomaya FedML 48 3 0 30 Jul 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain Weiliang Chen Li Jia Yang Zhou Qianqian Ren 34 0 0 28 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 71 1 0 25 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 63 0 0 23 Jul 2024
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning Hansol Kim Hoyeol Choi Youngjun Kwak FedML 31 1 0 23 Jul 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 35 1 0 22 Jul 2024
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training Ye Lin Tun Chu Myaet Thwal Minh N. H. Nguyen Choong Seon Hong 53 0 0 22 Jul 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 38 1 0 22 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 44 7 0 22 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 50 1 0 21 Jul 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models Navid Seidi Satyaki Roy Sajal Das Ardhendu Shekhar Tripathy 33 2 0 20 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 49 3 0 20 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 68 1 0 13 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 48 1 0 12 Jul 2024
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging Pranab Sahoo Ashutosh Tripathi Sriparna Saha S. Mondal 48 0 0 08 Jul 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi Albert Manuel Orozco Camacho Eugene Belilovsky Guy Wolf FedML MoMe 37 9 0 07 Jul 2024
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation Sajani Vithana V. Cadambe Flavio du Pin Calmon Haewon Jeong FedML 55 1 0 03 Jul 2024
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point Bokun Wang Axel Berg D. A. E. Acar Chuteng Zhou FedML MQ 50 0 0 02 Jul 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 45 1 0 02 Jul 2024
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks Zifan Zhang Minghong Fang Mingzhe Chen Gaolei Li Xi Lin Yuchen Liu AAML 45 3 0 02 Jul 2024
DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers Masatoshi Hidaka Tomohiro Hashimoto Yuto Nishizawa Tatsuya Harada 32 2 0 01 Jul 2024
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection Jiaxiang Geng Boyu Li Xiaoqi Qin Yixuan Li Liang Li Yanzhao Hou Miao Pan FedML 42 0 0 01 Jul 2024
Personalized Federated Continual Learning via Multi-granularity Prompt Hao Yu Xin Yang Xin Gao Yan Kang Hao Wang Junbo Zhang Tianrui Li CLL 69 7 0 27 Jun 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 38 44 0 27 Jun 2024
Differential error feedback for communication-efficient decentralized learning Roula Nassif Stefan Vlaski Marco Carpentiero Vincenzo Matta Ali H. Sayed 38 0 0 26 Jun 2024
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model Feijie Wu Zitao Li Yaliang Li Bolin Ding Jing Gao 34 43 0 25 Jun 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 62 14 0 24 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 44 0 0 24 Jun 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 80 1 0 23 Jun 2024
Communication-efficient Vertical Federated Learning via Compressed Error Feedback Pedro Valdeira João Xavier Cláudia Soares Yuejie Chi FedML 50 4 0 20 Jun 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification Zhipeng Deng Yuqiao Yang Kenji Suzuki MedIm FedML 59 1 0 17 Jun 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent Lin Wang Zhichao Wang Xiaoying Tang 51 1 0 17 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 49 4 0 16 Jun 2024
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective A. J. Mahamadou Aloysius Ochasi Russ B. Altman 27 0 0 14 Jun 2024
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 47 3 0 14 Jun 2024
A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations Jinqiang Wang Huansheng Ning Yi Peng Qikai Wei Daniel Tesfai Wenwei Mao Tao Zhu Runhe Huang LM&MA AI4MH ELM 54 5 0 14 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning Jiaxing Qi Zhongzhi Luan Shaohan Huang Carol J. Fung Hailong Yang Depei Qian 38 13 0 12 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 51 0 0 12 Jun 2024
A deep cut into Split Federated Self-supervised Learning Marcin Przewiȩźlikowski Marcin Osial Bartosz Zieliñski Marek 'Smieja FedML 40 0 0 12 Jun 2024
Federated learning in food research Zuzanna Fendor Bas H. M. van der Velden Xinxin Wang Andrea Jr. Carnoli Osman Mutlu Ali Hürriyetoğlu FedML 46 0 0 10 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 47 6 0 10 Jun 2024
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 48 8 0 07 Jun 2024