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
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Shunsuke Yoneda Valdemar Švábenský Gen Li Daisuke Deguchi Atsushi Shimada 24 0 0 14 May 2025
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 30 0 0 12 May 2025
Securing Genomic Data Against Inference Attacks in Federated Learning Environments Chetan Pathade Shubham Patil 26 0 0 12 May 2025
Adaptive Latent-Space Constraints in Personalized FL Sana Ayromlou D. B. Emerson FedML 49 0 0 12 May 2025
FedIFL: A federated cross-domain diagnostic framework for motor-driven systems with inconsistent fault modes Zexiao Wang Yankai Wang Xiaoqiang Liao Xinguo Ming Weiming Shen 28 0 0 12 May 2025
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang W. Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 26 0 0 11 May 2025
Source Anonymity for Private Random Walk Decentralized Learning Maximilian Egger Svenja Lage Rawad Bitar A. Wachter-Zeh 31 0 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 31 0 0 11 May 2025
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things Yifan Zeng 29 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 24 0 0 10 May 2025
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis Chunyi Yue Ang Li 24 0 0 10 May 2025
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Z. Zhu Y. Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
RiM: Record, Improve and Maintain Physical Well-being using Federated Learning Aditya Mishra Haroon R. Lone 16 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 19 0 0 09 May 2025
Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data Wenjie Liu Panos Papadimitratos 34 0 0 09 May 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Le-Trung Nguyen Ael Quélennec Van-Tam Nguyen Enzo Tartaglione 43 0 0 08 May 2025
Balancing Client Participation in Federated Learning Using AoI Alireza Javani Zhiying Wang 48 0 0 08 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 130 0 0 08 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 39 0 1 07 May 2025
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules Michail Theologitis V. Samoladas Antonios Deligiannakis 29 0 0 07 May 2025
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning Sanghyeon Park Soo-Mook Moon 42 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 42 0 0 06 May 2025
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 33 0 0 05 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Xunkai Li Y. X. Zhu Lianglin Hu FedML DD AI4CE 49 0 0 05 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization H. Li Zesheng Zhou Zhenbiao Cao X. Li Wei Chen X. Zhang FedML 44 0 0 05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets Enpei Zhang Jingyi Chai Rui Ye Yanfeng Wang Siheng Chen TDI FedML 136 0 0 05 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-Jie Luo Yue Gao MoE 41 2 0 05 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 35 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 58 0 0 05 May 2025
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift Yu Zhu Zehang Richard Li OOD CML 29 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 141 0 0 04 May 2025
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents Christian Schroeder de Witt AAML AI4CE 147 0 0 04 May 2025
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework Daniel Commey Garth V. Crosby 39 0 0 03 May 2025
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models Chaomeng Chen Zitong Yu J. Dong Sen Su L. Shen Shutao Xia Xiaochun Cao FedML VLM 143 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 45 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 89 0 0 03 May 2025
Preserving Privacy and Utility in LLM-Based Product Recommendations Tina Khezresmaeilzadeh Jiang Zhang Dimitrios Andreadis Konstantinos Psounis 32 0 0 02 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 Tianyi Zhou Qinghua Lu Shanshan Ye Jing Jiang OODD 168 1 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 40 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 41 0 0 01 May 2025
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models Bumjun Kim Wan Choi 26 0 0 01 May 2025
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 62 0 0 30 Apr 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 48 0 0 30 Apr 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Y. Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 77 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
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning Zhiyong Jin Runhua Xu C. Li Y. Liu Jianxin Li AAML FedML 37 0 0 30 Apr 2025
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning Chengui Xiao Songbai Liu FedML 72 0 0 29 Apr 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 56 0 0 29 Apr 2025