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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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Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts Saptarshi Nath Christos Peridis Eseoghene Benjamin Xinran Liu Soheil Kolouri Peter Kinnell Zexin Li Cong Liu Shirin Dora Andrea Soltoggio 44 0 0 05 Jun 2025
Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Gabriele Digregorio Elisabetta Cainazzo Stefano Longari Michele Carminati S. Zanero 107 2 0 05 Jun 2025
PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling Yuxuan Yue Zukang Xu Zhihang Yuan Dawei Yang Jianglong Wu Liqiang Nie MQ 46 0 0 05 Jun 2025
Communication Efficient Adaptive Model-Driven Quantum Federated Learning Dev Gurung Shiva Raj Pokhrel FedML 125 0 0 05 Jun 2025
Tight analyses of first-order methods with error feedback Daniel Berg Thomsen Adrien B. Taylor Hadrien Hendrikx 109 1 0 05 Jun 2025
Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Pavle Vasiljevic Milica Matic Miroslav Popovic 91 0 0 05 Jun 2025
FedAPM: Federated Learning via ADMM with Partial Model Personalization Shengkun Zhu Feiteng Nie Jinshan Zeng Sheng Wang Yuan Sun Yuan Yao Shangfeng Chen Quanqing Xu Chuanhui Yang FedML 106 0 0 05 Jun 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning Hasin Us Sami Swapneel Sen Amit K. Roy-Chowdhury S. Krishnamurthy Başak Güler FedML SILM 67 0 0 04 Jun 2025
Sylva: Tailoring Personalized Adversarial Defense in Pre-trained Models via Collaborative Fine-tuning Tianyu Qi Lei Xue Yufeng Zhan Xiaobo Ma AAML 37 0 0 04 Jun 2025
GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS Jiayi Wan Xiang Zhu Fanzhen Liu Wei Fan Xiaolong Xu FedML 61 0 0 04 Jun 2025
Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning Luiz Manella Pereira M. Amini FedML 66 0 0 04 Jun 2025
Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation C. Sabater Sonia Ben Mokhtar J. Ramon FedML 96 0 0 04 Jun 2025
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark Jianqing Zhang Xinghao Wu Yanbing Zhou Xiaoting Sun Qiqi Cai Yang Liu Yang Hua Zhenzhe Zheng Jian Cao Qiang Yang FedML 107 0 0 04 Jun 2025
FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems Frederico Metelo Alexandre Oliveira Stevo Racković Pedro Ákos Costa Cláudia Soares OffRL FedML 60 0 0 03 Jun 2025
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation Roie Reshef Kfir Y. Levy FedML 65 0 0 03 Jun 2025
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Mrinmay Sen Shruti Aparna Rohit Agarwal C Krishna Mohan FedML 75 0 0 03 Jun 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging Zijian Li Xiaocheng Feng Huixin Liu Yichong Huang Ting Liu Bing Qin MoMe 75 0 0 03 Jun 2025
Poster: FedBlockParadox -- A Framework for Simulating and Securing Decentralized Federated Learning Gabriele Digregorio Francesco Bleggi Federico Caroli Michele Carminati S. Zanero Stefano Longari FedML 78 0 0 03 Jun 2025
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles Md Ferdous Pervej Richeng Jin Md Moin Uddin Chowdhury Simran Singh Ismail Güvenç H. Dai 63 0 0 03 Jun 2025
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao Massimo Roberto Scamarcia Javier Fernandez-Marques Mohammad Naseri Chong Shen Ng ... Junyan Wang Zheyuan Liu Daniel J. Beutel Lingjuan Lyu Nicholas D. Lane ALM 76 1 0 03 Jun 2025
PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs Ze Yu Zhang Bolin Ding Bryan Kian Hsiang Low MoE 91 0 0 03 Jun 2025
FORLA:Federated Object-centric Representation Learning with Slot Attention Guiqiu Liao M. Jogan Eric Eaton Daniel A. Hashimoto FedML 77 0 0 03 Jun 2025
Regularized Federated Learning for Privacy-Preserving Dysarthric and Elderly Speech Recognition Tao Zhong Mengzhe Geng Shujie Hu Guinan Li Xunying Liu 46 0 0 02 Jun 2025
DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems Hithem Lamri Manaar Alam Haiyan Jiang Michail Maniatakos MU 54 0 0 02 Jun 2025
Federated Gaussian Mixture Models Sophia Zhang Pettersson Kuo-Yun Liang J. C. Andresen FedML 54 0 0 02 Jun 2025
Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning Md Nahid Hasan Shuvo Moinul Hossain FedML 23 0 0 02 Jun 2025
The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning Zhijie Xie Shenghui Song 57 0 0 02 Jun 2025
STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation Zenghao Guan Guojun Zhu Yucan Zhou Wu Liu Weiping Wang Jiebo Luo Xiaoyan Gu 76 0 0 02 Jun 2025
Enhancing Parallelism in Decentralized Stochastic Convex Optimization Ofri Eisen Ron Dorfman Kfir Y. Levy 44 0 0 01 Jun 2025
Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Q. Xiao Boqian Wu Andrey Poddubnyy Elena Mocanu Phuong H. Nguyen Mykola Pechenizkiy Decebal Constantin Mocanu FedML Presented at ResearchTrend Connect \| FedML on 02 Jul 2025 79 0 0 01 Jun 2025
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Divyansh Jhunjhunwala Arian Raje Madan Ravi Ganesh Chaithanya Kumar Mummadi Chaoqun Dong Jiawei Zhou Wan-Yi Lin Gauri Joshi Zhenzhen Li 56 0 0 01 Jun 2025
Optimized Local Updates in Federated Learning via Reinforcement Learning Ali Murad Bo Hui Wei-Shinn Ku FedML 46 0 0 31 May 2025
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study Diogo Landau Ingeborg de Pater Mihaela Mitici Nishant Saurabh 28 0 0 31 May 2025
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection Yeshwanth Venkatesha Souvik Kundu Priyadarshini Panda 36 1 0 31 May 2025
Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset Abhisek Ray Lukas Esterle OOD 38 0 0 31 May 2025
Differential Privacy for Deep Learning in Medicine Marziyeh Mohammadi Mohsen Vejdanihemmat Mahshad Lotfinia M. Rusu Daniel Truhn Andreas K. Maier Soroosh Tayebi Arasteh 54 1 0 31 May 2025
Shadow defense against gradient inversion attack in federated learning Le Jiang Liyan Ma Guang Yang AAML FedML 29 0 0 30 May 2025
Federated Foundation Model for GI Endoscopy Images Alina Devkota Annahita Amireskandari Joel Palko Shyam Thakkar Donald Adjeroh Xiajun Jiang Binod Bhattarai P. Gyawali MedIm 51 0 0 30 May 2025
Robust Federated Learning against Model Perturbation in Edge Networks Dongzi Jin Yong Xiao Yingyu Li FedML 18 0 0 30 May 2025
ByzFL: Research Framework for Robust Federated Learning Marc González R. Guerraoui Rafael Pinot Geovani Rizk John Stephan François Taïani FedML 41 0 0 30 May 2025
Adaptive Deadline and Batch Layered Synchronized Federated Learning Asaf Goren Natalie Lang Nir Shlezinger Alejandro Cohen FedML 19 0 0 29 May 2025
Deep Modeling and Optimization of Medical Image Classification Yihang Wu Muhammad Owais R. Kateb Ahmad Chaddad MedIm VLM 109 1 0 29 May 2025
Federated Unsupervised Semantic Segmentation Evangelos Charalampakis Vasileios Mygdalis Ioannis Pitas FedML 42 0 0 29 May 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model Zhihao Wang Wenke Huang Tian Chen Zekun Shi Guancheng Wan Yu Qiao Bin Yang Jian Wang Bing Li Mang Ye FedML VLM 32 0 0 29 May 2025
MuLoCo: Muon is a practical inner optimizer for DiLoCo Benjamin Thérien Xiaolong Huang Irina Rish Eugene Belilovsky MoE 59 0 0 29 May 2025
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning Shiwei Li Xiandi Luo Haozhao Wang Xing Tang Shijie Xu Weihong Luo Yuhua Li Xiuqiang He Ruixuan Li FedML 25 0 0 29 May 2025
Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Yanzhao Hou Jiaxiang Geng Boyu Li Xiaofeng Tao Juncheng Wang Xiaodong Xu B. Luo 61 0 0 29 May 2025
Navigating the Accuracy-Size Trade-Off with Flexible Model Merging Akash Dhasade Divyansh Jhunjhunwala Milos Vujasinovic Gauri Joshi Anne-Marie Kermarrec MoMe 78 0 0 29 May 2025
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections Wei Zhuo Zhaohuan Zhan Ziduo Yang Han Yu FedML 24 0 0 29 May 2025
Measuring Participant Contributions in Decentralized Federated Learning Honoka Anada Tatsuya Kaneko Shinya Takamaeda-Yamazaki FedML 43 0 0 29 May 2025