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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
Source Anonymity for Private Random Walk Decentralized Learning Maximilian Egger Svenja Lage Rawad Bitar Antonia Wachter-Zeh 68 0 0 11 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 165 1 0 11 May 2025
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning Yiwei Zhang R. Behnia Imtiaz Karim A. Yavuz Elisa Bertino 77 0 0 11 May 2025
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs Samaneh Mohammadi Iraklis Symeonidis Ali Balador Francesco Flammini FedML 46 0 0 11 May 2025
Enhancing Robustness to Missing Modalities through Clustered Federated Learning L. Yang Wei Emma Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 105 0 0 11 May 2025
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu Yan Huang Xin Wang Shouling Ji Jinming Xu 100 0 0 10 May 2025
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things Yifan Zeng 94 0 0 10 May 2025
FNBench: Benchmarking Robust Federated Learning against Noisy Labels Xuefeng Jiang Jia Li Nannan Wu Z. F. Wu Xujing Li Sheng Sun Gang Xu Yansen Wang Qi Li Min Liu FedML 91 3 0 10 May 2025
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis Chunyi Yue Ang Li 73 0 0 10 May 2025
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning Xavier Martínez-Luaña M. Fernández-Veiga R. Redondo Ana Fernández Vilas FedML 73 0 0 10 May 2025
RiM: Record, Improve and Maintain Physical Well-being using Federated Learning Aditya Mishra Haroon R. Lone 114 0 0 09 May 2025
Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data Wenjie Liu Panos Papadimitratos 100 0 0 09 May 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Yun Xin Jianfeng Lu Shuqin Cao Gang Li Haozhao Wang Guanghui Wen FedML 63 0 0 09 May 2025
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients Jinsheng Yuan Yuhang Hao Weisi Guo Yun Wu Chongyan Gu AAML FedML 64 0 0 09 May 2025
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi Sijin Zhou Lei Meng Han Hu Han Yu Xiangxu Meng FedML CML 502 1 0 08 May 2025
Balancing Client Participation in Federated Learning Using AoI Alireza Javani Zhiying Wang 92 0 0 08 May 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Le-Trung Nguyen Ael Quélennec Van-Tam Nguyen Enzo Tartaglione 107 0 0 08 May 2025
FDA-Opt: Communication-Efficient Federated Fine-Tuning of Language Models Michail Theologitis V. Samoladas Antonios Deligiannakis 163 0 0 07 May 2025
Retrieval Augmented Generation Evaluation for Health Documents Mario Ceresa Lorenzo Bertolini Valentin Comte Nicholas Spadaro Barbara Raffael ... Sergio Consoli Amalia Muñoz Piñeiro Alex Patak Maddalena Querci Tobias Wiesenthal RALM 3DV 113 0 1 07 May 2025
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning Sanghyeon Park Soo-Mook Moon 79 0 0 07 May 2025
FedBWO: Enhancing Communication Efficiency in Federated Learning Vahideh Hayyolalam Öznur Özkasap FedML 98 0 0 07 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Jiacheng Wang Le Liang Hao Ye Chongtao Guo Shi Jin 74 0 0 06 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun Luo Yue Gao MoE 97 4 0 05 May 2025
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 109 0 0 05 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization Haoyang Li Zesheng Zhou Zhenbiao Cao Xiaochen Li Wei Chen Xinsong Zhang FedML 143 0 0 05 May 2025
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions Flora Amato Lingyu Qiu Mohammad Tanveer S. Cuomo F. Giampaolo F. Piccialli FedML 119 0 0 05 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Miao Hu Yinlin Zhu Lianglin Hu FedML DD AI4CE 105 0 0 05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets Enpei Zhang Jingyi Chai Guangyi Liu Yanfeng Wang Siheng Chen TDI FedML 428 0 0 05 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 180 0 0 05 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 450 0 0 04 May 2025
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents Christian Schroeder de Witt AAML AI4CE 492 6 0 04 May 2025
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift Yu Zhu Zehang Richard Li OOD CML 62 0 0 04 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 95 4 0 03 May 2025
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework Daniel Commey Garth V. Crosby 94 0 0 03 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 474 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 376 0 0 03 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 517 2 0 02 May 2025
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks M. S. HaghighiFard Sinem Coleri AAML 71 0 0 02 May 2025
Preserving Privacy and Utility in LLM-Based Product Recommendations Tina Khezresmaeilzadeh Jiang Zhang Dimitrios Andreadis Konstantinos Psounis 117 1 0 02 May 2025
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models Bumjun Kim Wan Choi 98 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 140 0 0 01 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 104 0 0 01 May 2025
Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation Zhizhong Tan Jiexin Zheng Kevin Qi Zhang Wenyong Wang FedML 94 0 0 01 May 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 134 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 137 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 164 0 0 30 Apr 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 62 0 0 30 Apr 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Yang Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 139 0 0 30 Apr 2025
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 122 1 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