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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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Title
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 103 0 0 01 Jul 2025
Robustness of Decentralised Learning to Nodes and Data Disruption Luigi Palmieri Chiara Boldrini Lorenzo Valerio A. Passarella M. Conti János Kertész 70 1 0 01 Jul 2025
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Tao Shen Jie M. Zhang FedML 93 15 0 01 Jul 2025
Incentivizing High-quality Participation From Federated Learning Agents Jinlong Pang Jiaheng Wei Yifan Hua Chen Qian Yang Liu FedML 32 0 0 20 Jun 2025
FedFitTech: A Baseline in Federated Learning for Fitness Tracking Zeyneddin Oz Shreyas Korde Marius Bock Kristof Van Laerhoven FedML 34 0 0 20 Jun 2025
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data Yuping Yan Yizhi Wang Yuanshuai Li Yaochu Jin FedML 19 0 0 20 Jun 2025
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE Khiem Le Tuan V. Tran Ting Hua Nitesh Chawla MoE 17 0 0 19 Jun 2025
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Xinting Liao Weiming Liu Jiaming Qian Pengyang Zhou Jiahe Xu Wenjie Wang Chaochao Chen Xiaolin Zheng Tat-Seng Chua FedML OODD VLM 54 0 0 19 Jun 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning John Abascal Nicolás Berrios Alina Oprea Jonathan R. Ullman Adam D. Smith Matthew Jagielski MLAU 44 0 0 19 Jun 2025
Centroid Approximation for Byzantine-Tolerant Federated Learning Mélanie Cambus Darya Melnyk Tijana Milentijević Stefan Schmid FedML 24 0 0 18 Jun 2025
PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Xiangman Li Xiaodong Wu Jianbing Ni Mohamed Mahmoud Maazen Alsabaan AAML 24 0 0 18 Jun 2025
Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction Vincent Roca Marc Tommasi Paul Andrey A. Bellet M. Schirmer ... Laurent Puy J. Ramon Grégory Kuchcinski Martin Bretzner Renaud Lopes 68 0 0 18 Jun 2025
PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Liangyan Li Yangyi Liu Yimo Ning Stefano Rini Jun Chen FedML 24 0 0 18 Jun 2025
Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters Luiz Manella Pereira M. Amini FedML 12 0 0 18 Jun 2025
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation Haolong Jin Shenglin Liu Cong Cong Qingmin Feng Yongzhi Liu Lina Huang Yingzi Hu 36 0 0 18 Jun 2025
Knowledge Adaptation as Posterior Correction Mohammad Emtiyaz Khan 32 0 0 17 Jun 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning Ganyu Wang Jinjie Fang Maxwell J. Ying Bin Gu Xi Chen Boyu Wang Charles Ling FedML 31 0 0 17 Jun 2025
Event-Driven Online Vertical Federated Learning Ganyu Wang Boyu Wang Bin Gu Charles Ling 37 1 0 17 Jun 2025
Federated ADMM from Bayesian Duality Thomas Möllenhoff S. Swaroop Finale Doshi-Velez Mohammad Emtiyaz Khan FedML 44 1 0 16 Jun 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning Zhiqiang Li Haiyong Bao Menghong Guan Hao Pan Cheng Huang Hong-Ning Dai FedML 30 0 0 16 Jun 2025
Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Mei-Yen Chen Thi Thu Uyen Hoang Michael Hahn M. Sarfraz MoMe 35 0 0 16 Jun 2025
Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability M. Crawshaw Blake Woodworth Mingrui Liu 34 0 0 16 Jun 2025
AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning Chaoyi Lu Yiding Sun Jinqian Chen Zhichuan Yang Jiangming Pan Jihua Zhu 34 0 0 15 Jun 2025
VFEFL: Privacy-Preserving Federated Learning against Malicious Clients via Verifiable Functional Encryption Nina Cai Jinguang Han Weizhi Meng FedML 7 0 0 15 Jun 2025
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks Pranjal Naman Yogesh Simmhan FedML AI4CE 34 0 0 14 Jun 2025
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 28 0 0 13 Jun 2025
Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation Zikai Zhang Ping Liu Jiahao Xu Rui Hu 45 0 0 13 Jun 2025
AI-Based Software Vulnerability Detection: A Systematic Literature Review Samiha Shimmi Hamed Okhravi Mona Rahimi 139 0 0 12 Jun 2025
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models Y. Zhang Hewei Gao Haokun Chen Weiguo Li Yunpu Ma Volker Tresp 26 1 0 12 Jun 2025
FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification Jun Bai Rajib Rana Di Wu Youyang Qu Xiaohui Tao J. Zhang 41 0 0 11 Jun 2025
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach Ahmed Elbakary Chaouki Ben Issaid Mehdi Bennis FedML 65 0 0 11 Jun 2025
Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity Haoxiang Ye Tao Sun Qing Ling FedML 61 0 0 11 Jun 2025
Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs Rodion Oblovatny Alexandra Bazarova Alexey Zaytsev 77 0 0 11 Jun 2025
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Maximilian Egger Rawad Bitar 86 0 0 11 Jun 2025
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck Ciro Benito Raggio P. Zaffino M. Spadea MedIm 43 0 0 10 Jun 2025
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems Zheng Lin Zhe Chen Xianhao Chen Wei Ni Yue Gao FedML 39 0 0 10 Jun 2025
FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models Hariharan Ramesh Jyotikrishna Dass 39 0 0 10 Jun 2025
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data Sunny Gupta Nikita Jangid Amit Sethi FedML 23 0 0 09 Jun 2025
Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Christopher Subia-Waud 35 0 0 09 Jun 2025
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Ruhan Wang Zhiyong Wang Chengkai Huang Rui Wang Tong Yu Lina Yao John C. S. Lui Dongruo Zhou 24 0 0 09 Jun 2025
Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Muhammad Ali Najjar Ren-Yi Huang Dumindu Samaraweera Prashant Shekhar FedML 32 0 0 09 Jun 2025
Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Alberto Bazán-Guillén Carlos Beis-Penedo Diego Cajaraville-Aboy Pablo Barbecho-Bautista R. Redondo Luis J. de la Cruz Llopis Ana Fernández-Vilas Mónica Aguilar Igartua M. Fernández-Veiga AI4TS 26 0 0 09 Jun 2025
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Z. Niu FedML 19 0 0 09 Jun 2025
Clustered Federated Learning via Embedding Distributions Dekai Zhang Matthew Williams Francesca Toni FedML 21 0 0 09 Jun 2025
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems Marco Di Gennaro Giovanni De Lucia Stefano Longari S. Zanero Michele Carminati FedML 24 0 0 09 Jun 2025
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization Mrinmay Sen C Krishna Mohan 20 0 0 08 Jun 2025
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning Zeyu Yan Yifei Yao Xuanbing Wen Juli Zhang Kai Fan AAML 23 0 0 07 Jun 2025
The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing Adrià Molina Rodríguez O. R. Terrades Josep Lladós 30 0 0 07 Jun 2025
Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning Yujia Huo Jianchun Liu Hongli Xu Zhenguo Ma Shilong Wang Liusheng Huang CLL 51 0 0 06 Jun 2025
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR Fardis Nadimi Payam Abdisarabshali Kasra Borazjani Jacob Chakareski Seyyedali Hosseinalipour 64 0 0 06 Jun 2025