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
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 43 0 0 05 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization Yiming Li Zesheng Zhou Zhenbiao Cao Xiaochen Li Wei Chen Xinsong Zhang FedML 46 0 0 05 May 2025
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift Yu Zhu Zehang Richard Li OOD CML 31 0 0 04 May 2025
A Survey on Privacy Risks and Protection in Large Language Models Kang Chen Xiuze Zhou Yuanguo Lin Shibo Feng Li Shen Pengcheng Wu AILaw PILM 213 0 0 04 May 2025
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents Christian Schroeder de Witt AAML AI4CE 231 1 0 04 May 2025
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models Chaomeng Chen Zitong Yu Jin Song Dong Sen Su Linlin Shen Shutao Xia Xiaochun Cao FedML VLM 223 0 0 03 May 2025
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding Siyang Jiang Bufang Yang Lilin Xu Mu Yuan Yeerzhati Abudunuer ... Liekang Zeng Hongkai Chen Zhenyu Yan Xiaofan Jiang Guoliang Xing VLM 167 0 0 03 May 2025
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework Daniel Commey Garth V. Crosby 44 0 0 03 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 56 0 0 03 May 2025
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks M. S. HaghighiFard Sinem Coleri AAML 33 0 0 02 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Dinesh Manocha Qinghua Lu Shanshan Ye Jing Jiang OODD 249 1 0 02 May 2025
Preserving Privacy and Utility in LLM-Based Product Recommendations Tina Khezresmaeilzadeh Jiang Zhang Dimitrios Andreadis Konstantinos Psounis 37 0 0 02 May 2025
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving Wei-Bin Kou Guangxu Zhu Bingyang Cheng Shuai Wang Ming Tang Yik-Chung Wu 48 0 0 01 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices Zhengyi Zhong Weidong Bao Ji Wang Jianguo Chen Lingjuan Lyu Wei Yang Bryan Lim CLL 48 0 0 01 May 2025
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models Bumjun Kim Wan Choi 34 0 0 01 May 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 53 0 0 30 Apr 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 39 0 0 30 Apr 2025
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 64 0 0 30 Apr 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Yong-Jin Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 82 0 0 30 Apr 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning Zhiyong Jin Runhua Xu Chong Li Yunxing Liu Jianxin Li AAML FedML 48 0 0 30 Apr 2025
Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning Atul Sharma Kavindu Herath Saurabh Bagchi Chaoyue Liu Somali Chaterji FedML 53 0 0 29 Apr 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 63 0 0 29 Apr 2025
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 58 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 65 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 69 0 0 29 Apr 2025
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning Chengui Xiao Songbai Liu FedML 72 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 119 0 0 29 Apr 2025
Federated Out-of-Distribution Generalization: A Causal Augmentation View Runhui Zhang Sijin Zhou Zhuang Qi OOD FedML 73 1 0 28 Apr 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging Youngjoon Lee J. Gong Joonhyuk Kang FedML 50 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 72 0 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 76 3 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 44 0 0 28 Apr 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 49 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 76 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 39 0 0 26 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 257 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 65 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 49 0 0 25 Apr 2025
Switch-Based Multi-Part Neural Network Surajit Majumder Paritosh Ranjan Prodip Roy Bhuban Padhan OOD 79 0 0 25 Apr 2025
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models Xuan Li Zhe Yin Xiaodong Gu Beijun Shen AAML MU 60 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 76 0 0 25 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 58 0 0 24 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 76 0 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 39 0 0 23 Apr 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 36 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 69 21 0 20 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 58 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 36 0 0 17 Apr 2025
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification Yue Li L. Zhang 39 0 0 16 Apr 2025
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks Tingyang Sun Tuan Nguyen Ting He 42 0 0 16 Apr 2025