Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

Papers citing "Federated Optimization: Distributed Machine Learning for On-Device Intelligence"

50 / 733 papers shown

Title
Diffusion Learning with Partial Agent Participation and Local Updates Elsa Rizk Kun Yuan Ali H. Sayed 7 0 0 16 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 35 0 0 12 May 2025
Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices Chao Feng Nicolas Huber Alberto Huertas Celdrán Gérome Bovet Burkhard Stiller FedML 48 0 0 12 May 2025
Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning Eunjeong Jeong Nikolaos Pappas 48 0 0 16 Apr 2025
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling Feng Zhu Aritra Mitra Robert W. Heath FedML 36 0 0 15 Apr 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations Mahshad Lotfinia Arash Tayebiarasteh Samaneh Samiei Mehdi Joodaki Soroosh Tayebi Arasteh 32 0 0 11 Apr 2025
On Model Protection in Federated Learning against Eavesdropping Attacks Dipankar Maity Kushal Chakrabarti FedML 67 0 0 02 Apr 2025
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration Xue Feng M. Paul Laiu Thomas Strohmer FedML 65 0 0 14 Mar 2025
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model Wenke Huang Jian Liang Xianda Guo Yiyang Fang Guancheng Wan ... Bin Yang He Li Jiawei Shao Mang Ye Bo Du OffRL LRM MLLM KELM VLM 65 1 0 06 Mar 2025
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings Marco Arazzi Mert Cihangiroglu Antonino Nocera FedML 78 0 0 06 Mar 2025
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework S M Sarwar AI4MH 46 0 0 27 Feb 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng Minh Hoang Lam M. Nguyen My T. Thai Tsui-Wei Weng T. Hoang FedML 76 2 0 27 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey Ahmed Sharshar Latif U. Khan Waseem Ullah Mohsen Guizani VLM 70 3 0 11 Feb 2025
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization Kevin Cooper Michael Geller 93 0 0 30 Jan 2025
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management Bob Johnson Michael Geller 44 1 0 28 Jan 2025
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems Quoc Tran-Dinh Yang Luo 91 6 0 28 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 100 0 0 30 Dec 2024
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes Igor Sokolov Peter Richtárik 77 1 0 22 Dec 2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation HaoYang Li Wei Chen Xiaojin Zhang FedML 75 0 0 18 Dec 2024
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks Wenhan Dong Chao Lin Xinlei He Xinyi Huang Shengmin Xu PICV 81 0 0 02 Dec 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation Shreya Gummadi M. V. Gasparino Deepak Vasisht Girish Chowdhary FedML 35 1 0 06 Nov 2024
Co-clustering for Federated Recommender System Xinrui He Shuo Liu J. Keung Jingrui He FedML 49 9 0 03 Nov 2024
Efficient and Robust Regularized Federated Recommendation Langming Liu Wanyu Wang Xiangyu Zhao Zijian Zhang Chunxu Zhang ... Lixin Zou Zitao Liu Xuetao Wei Hongzhi Yin Qing Li FedML 40 2 0 03 Nov 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime Lasse Vuursteen 35 0 0 02 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 30 2 0 02 Nov 2024
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation Victor Junqiu Wei Weicheng Wang Di Jiang Conghui Tan Rongzhong Lian MoMe 30 0 0 21 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals Yuqi Su Xiaolei Fang FedML 20 0 0 14 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 30 0 0 11 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 33 0 0 08 Oct 2024
Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis Vijay Anavangot FedML 16 0 0 02 Oct 2024
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning Nathaniel Hudson Valérie Hayot-Sasson Y. Babuji Matt Baughman J. G. Pauloski Ryan Chard Ian Foster Kyle Chard 37 1 0 24 Sep 2024
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem Qiongxiu Li Lixia Luo Agnese Gini Changlong Ji Zhanhao Hu Xiao-Li Li Chengfang Fang Jie Shi Xiaolin Hu FedML 34 3 0 21 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 39 5 0 13 Sep 2024
Federated Aggregation of Mallows Rankings: A Comparative Analysis of Borda and Lehmer Coding Jin Sima Vishal Rana Olgica Milenkovic FedML 18 0 0 01 Sep 2024
Federated Frank-Wolfe Algorithm Ali Dadras Sourasekhar Banerjee Karthik Prakhya A. Yurtsever FedML 34 4 0 19 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 41 0 0 09 Aug 2024
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training Ye Lin Tun Chu Myaet Thwal Minh N. H. Nguyen Choong Seon Hong 42 0 0 22 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 Jul 2024
Novel clustered federated learning based on local loss Endong Gu Yongxin Chen Hao Wen Xingju Cai Deren Han FedML 30 0 0 12 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 31 2 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 24 0 0 12 Jul 2024
Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 46 1 0 09 Jul 2024
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning Jiajun Song Jiajun Luo Rongwei Lu Shuzhao Xie Bin Chen Zhi Wang FedML 23 0 0 06 Jul 2024
Support Vector Based Anomaly Detection in Federated Learning Massimo Frasson Dario Malchiodi 29 0 0 04 Jul 2024
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps Junchi Yang Murat Yildirim Qiu Feng 40 0 0 02 Jul 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 37 4 0 25 Jun 2024
NAC-QFL: Noise Aware Clustered Quantum Federated Learning Himanshu Sahu Hari Prabhat Gupta 13 2 0 20 Jun 2024
H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent Son Nguyen Lizhang Chen Bo Liu Qiang Liu 30 3 0 14 Jun 2024
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 41 3 0 10 Jun 2024