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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
Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning Atul Sharma Kavindu Herath Saurabh Bagchi Chaoyue Liu Somali Chaterji FedML 81 0 0 29 Apr 2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning Jieming Bian Yuanzhe Peng Lei Wang Yin Huang Jie Xu FedML 122 1 0 29 Apr 2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Shuai Gong C. Cui Xiaolin Dong Xiushan Nie Lei Zhu Xiaojun Chang FedML MoE 117 0 0 29 Apr 2025
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models Mainak Singha Subhankar Roy Sarthak Mehrotra Ankit Jha Moloud Abdar Biplab Banerjee Elisa Ricci VLM VPVLM 198 0 0 29 Apr 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 109 0 0 29 Apr 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 335 0 0 29 Apr 2025
Federated Out-of-Distribution Generalization: A Causal Augmentation View Runhui Zhang Sijin Zhou Zhuang Qi OOD FedML 136 1 0 28 Apr 2025
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage Rui Xin Niloofar Mireshghallah Shuyue Stella Li Michael Duan Hyunwoo Kim Yejin Choi Yulia Tsvetkov Sewoong Oh Pang Wei Koh 162 7 0 28 Apr 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging Youngjoon Lee J. Gong Joonhyuk Kang FedML 110 1 0 28 Apr 2025
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 179 0 0 28 Apr 2025
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization Diying Yang Yingwei Hou Danyang Xiao Weigang Wu FedML 88 0 0 28 Apr 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 97 0 0 27 Apr 2025
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Jing Chen Yangqiu Song Jin Dong Jianxin Li Philip S. Yu 158 1 0 27 Apr 2025
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning Sarang S Druva Dhakshinamoorthy Aditya Shiva Sharma Yuvraj Singh Bhadauria Siddharth Chaitra Vivek Arihant Bansal Arnab K. Paul FedML 213 0 0 26 Apr 2025
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models Xuan Li Zhe Yin Xiaodong Gu Beijun Shen AAML MU 123 0 0 25 Apr 2025
Federated Client-tailored Adapter for Medical Image Segmentation Guyue Hu Siyuan Song Yukun Kang Z. Yin Gangming Zhao Chenglong Li Jin Tang FedML MedIm 479 0 0 25 Apr 2025
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity Xiaolu Chen Chenghao Huang Yanru Zhang Hao Wang 177 0 0 25 Apr 2025
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Romain Chor Abdellatif Zaidi Piotr Krasnowski 105 1 0 25 Apr 2025
Switch-Based Multi-Part Neural Network Surajit Majumder Paritosh Ranjan Prodip Roy Bhuban Padhan OOD 107 0 0 25 Apr 2025
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training Hiroki Naganuma Xinzhi Zhang Man-Chung Yue Ioannis Mitliagkas Philipp A. Witte Russell J. Hewett Yin Tat Lee 259 0 0 25 Apr 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework Yacine Belal Mohamed Maouche Sonia Ben Mokhtar Anthony Simonet-Boulogne 81 0 0 24 Apr 2025
Decentralized Time Series Classification with ROCKET Features Bruno Casella Matthias Jakobs Marco Aldinucci Sebastian Buschjäger AI4TS 82 0 0 24 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... Jiajian Li Xiaozhou Ye Ye Ouyang Qiang Yang Yanzhe Zhang ALM 471 1 0 24 Apr 2025
PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare José G. Moreno Jesus Lovon M'Rick Robin-Charlet Christine Damase-Michel L. Tamine MoMe LM&MA 132 0 0 24 Apr 2025
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction Weijie Liu Ziwei Zhan Carlee Joe-Wong Edith Ngai Jingpu Duan Deke Guo Xu Chen Xinsong Zhang FedML 129 0 0 24 Apr 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence Edward Collins Ratun Rahman Michel Wang FedML 83 0 0 24 Apr 2025
Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity Abdul Hannaan Zubair Shah A. Erbad Amr M. Mohamed Ali Safa FedML ObjD 73 0 0 23 Apr 2025
Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 194 2 0 23 Apr 2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach Shuyue Wei Yongxin Tong Zimu Zhou Tianran He Yi Xu FedML 66 0 0 23 Apr 2025
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections Max Kirchner Alexander C. Jenke S. Bodenstedt Fiona Kolbinger Oliver Saldanha Jakob N. Kather M. Wagner Stefanie Speidel FedML MedIm 164 1 0 23 Apr 2025
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology Yanjie Wu Yuhao Ji Saiho Lee Juniad Akram Ali Braytee Ali Anaissi 116 1 0 23 Apr 2025
Collaborative Split Federated Learning with Parallel Training and Aggregation Yiannis Papageorgiou Yannis Thomas Alexios Filippakopoulos Ramin Khalili Iordanis Koutsopoulos FedML 79 0 0 22 Apr 2025
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data Yanbo Dai Songze Li Zihan Gan Xueluan Gong AAML FedML 67 0 0 22 Apr 2025
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification Alycia N. Carey Xintao Wu FedML 96 0 0 22 Apr 2025
Bayesian Federated Learning for Continual Training Usevalad Milasheuski Luca Barbieri Sanaz Kianoush M. Nicoli S. Savazzi FedML 77 0 0 21 Apr 2025
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Hao Mark Chen Zehuan Zhang Wanru Zhao Nicholas D. Lane Hongxiang Fan 50 0 0 21 Apr 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 174 0 0 21 Apr 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 192 22 0 20 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Miao Hu Yinlin Zhu Rong-Hua Li Guoren Wang FedML 91 0 0 19 Apr 2025
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation Mingzhe Han Dongsheng Li Jiafeng Xia Jiahao Liu Hansu Gu Peng Zhang Ning Gu Tun Lu FedML 82 0 0 19 Apr 2025
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling Hui Yeok Wong Chee Kau Lim Chee Seng Chan FedML 77 0 0 18 Apr 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Chaoyue Niu Yucheng Ding Junhui Lu Zhengxiang Huang Hang Zeng Yutong Dai Xuezhen Tu Chengfei Lv Fan Wu Guihai Chen 141 1 0 17 Apr 2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients Leming Wu Yaochu Jin K. Hao Han Yu FedML 151 0 0 17 Apr 2025
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum Yuan Zhou Xinli Shi Xuelong Li Jiachen Zhong G. Wen Jinde Cao FedML 103 0 0 17 Apr 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning Phung Lai Guanxiong Liu Hai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu FedML 92 0 0 17 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 141 0 0 17 Apr 2025
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification Yue Li L. Zhang 74 0 0 16 Apr 2025
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks Tingyang Sun Tuan Nguyen Ting He 165 0 0 16 Apr 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data Yuan Zhou Jiachen Zhong Xinli Shi G. Wen Xinghuo Yu FedML 81 0 0 16 Apr 2025
Benchmarking Mutual Information-based Loss Functions in Federated Learning Sarang S Harsh D. Chothani Qilei Li A. Abdelmoniem Arnab K. Paul FedML 68 0 0 16 Apr 2025