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Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,026 papers shown

Title
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 156 8 0 18 Feb 2025
Preconditioned Inexact Stochastic ADMM for Deep Model Shenglong Zhou Ouya Wang Ziyan Luo Yongxu Zhu Geoffrey Ye Li 86 0 0 15 Feb 2025
One-shot Federated Learning Methods: A Practical Guide Xiang Liu Zhenheng Tang Xia Li Yijun Song Sijie Ji Zemin Liu Bo Han Linshan Jiang Jialin Li FedML 171 1 0 13 Feb 2025
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning D. Domini G. Aguzzi L. Esterle Mirko Viroli FedML 103 0 0 12 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 494 0 0 10 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach Chaouki Ben Issaid Praneeth Vepakomma Mehdi Bennis 159 3 0 03 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning Artavazd Maranjyan El Mehdi Saad Peter Richtárik Francesco Orabona 188 1 0 02 Feb 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 160 0 0 28 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 166 0 0 28 Jan 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Judith Sáinz-Pardo Díaz Á. García 201 0 0 28 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il-Min Kim Guanghui CLL 148 2 0 26 Jan 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models Sajjad Ghiasvand Mahnoosh Alizadeh Ramtin Pedarsani ALM 152 2 0 26 Jan 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 113 1 0 24 Jan 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 88 1 0 23 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 296 0 0 22 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 88 0 0 21 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation Haoran Xu Jiaze Li Wanyi Wu Hao Ren FedML 116 2 0 20 Jan 2025
Federated Deep Subspace Clustering Yupei Zhang Ruojia Feng Yifei Wang Xuequn Shang FedML 172 0 0 17 Jan 2025
Aggregating Low Rank Adapters in Federated Fine-tuning Evelyn Trautmann Ian Hales Martin F. Volk AI4CE FedML 87 0 0 10 Jan 2025
Differentially Private Online Federated Learning with Correlated Noise Jiaojiao Zhang Linglingzhi Zhu Mikael Johansson FedML 109 1 0 10 Jan 2025
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models Hui Lin Chao Zhang Danfeng Hong Kexin Dong Congcong Wen FedML VLM 102 4 0 05 Jan 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition Hu Ding Yan Yan Yang Lu Jing-Hao Xue Hanzi Wang 169 0 0 03 Jan 2025
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Ke Xu Quyang Pan Bo Gao Tian Wen FedML 99 1 0 03 Jan 2025
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 129 0 0 31 Dec 2024
A Unified Analysis of Federated Learning with Arbitrary Client Participation Shiqiang Wang Mingyue Ji FedML 140 59 0 31 Dec 2024
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 116 7 0 31 Dec 2024
Delayed Random Partial Gradient Averaging for Federated Learning Xinyi Hu FedML 113 0 0 31 Dec 2024
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training Milad Soltany Farhad Pourpanah Mahdiyar Molahasani Michael A. Greenspan Ali Etemad FedML 167 2 0 16 Dec 2024
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction Thalita Mendonça Antico Larissa F. Rodrigues Moreira Rodrigo Moreira 142 28 0 10 Dec 2024
Controlling Participation in Federated Learning with Feedback Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 150 0 0 28 Nov 2024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures Yicheng Zhang Zhen Qin Zhaomin Wu Jian Hou Shuiguang Deng 179 3 0 28 Nov 2024
BadSFL: Backdoor Attack against Scaffold Federated Learning Xingshuo Han Xuanye Zhang Xiang Lan Haozhao Wang Shengmin Xu Shen Ren Jason Zeng Ming Wu Michael Heinrich Tianwei Zhang FedML 87 1 0 25 Nov 2024
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation Jiawen Weng Zeke Xia Ran Li Ming Hu Mingsong Chen FedML 115 0 0 24 Nov 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 144 1 0 24 Nov 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 179 0 0 23 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 595 1 0 19 Nov 2024
Federated Learning Clients Clustering with Adaptation to Data Drifts Minghao Li Dmitrii Avdiukhin Rana Shahout Nikita Ivkin Vladimir Braverman Minlan Yu FedML 71 0 0 03 Nov 2024
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 97 0 0 31 Oct 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Yuante Li FedML 98 1 0 28 Oct 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Qiqi Liu Qicheng Lao Han Yu FedML 90 4 0 25 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 140 2 0 24 Oct 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing Alexander Bienstock Ujjwal Kumar Antigoni Polychroniadou FedML 77 0 0 21 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 95 1 0 17 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models Sajjad Ghiasvand Yifan Yang Zhiyu Xue Mahnoosh Alizadeh Zheng Zhang Ramtin Pedarsani FedML 168 5 0 16 Oct 2024
Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki Taishi Nakamura Takuya Akiba Yujin Tang MoMe 145 2 0 16 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Guangyi Liu Fengting Yuchi W. Zhao Jingjing Qu Yanjie Wang Siheng Chen ALM FedML 129 2 0 15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo Chong Chen Shandong Wu FedML VLM MoE 133 6 0 14 Oct 2024
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation Abdulmomen Ghalkha Chaouki Ben Issaid Mehdi Bennis 86 0 0 10 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 64 0 0 09 Oct 2024
FedGraph: A Research Library and Benchmark for Federated Graph Learning Yuhang Yao Yuan Li Xinyi Fan Junhao Li Kay Liu Weizhao Jin Yu Yang Srivatsan Ravi Philip S. Yu Carlee Joe-Wong FedML 198 0 0 08 Oct 2024