Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 792 papers shown

Title
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 36 5 0 10 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 21 2 0 10 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 24 32 0 10 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach Seyed Mahmoud Sajjadi Mohammadabadi Syed Zawad Feng Yan Lei Yang FedML 27 7 0 09 Dec 2023
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 29 3 0 09 Dec 2023
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security Ozlem Ceviz Pinar Sadioglu Sevil Sen U. York 25 1 0 07 Dec 2023
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning Chung Park Taekyoon Choi Taesan Kim Mincheol Cho Junui Hong Minsung Choi Jaegul Choo FedML 39 5 0 06 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 28 2 0 05 Dec 2023
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks Marc Vucovich Devin Quinn K. Choi Christopher Redino Abdul Rahman Edward Bowen 11 4 0 04 Dec 2023
Can We Learn Communication-Efficient Optimizers? Charles-Étienne Joseph Benjamin Thérien A. Moudgil Boris Knyazev Eugene Belilovsky 40 1 0 02 Dec 2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone Carlo Masone Marco Ciccone FedML 30 2 0 30 Nov 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 87 3 0 29 Nov 2023
Asynchronous Wireless Federated Learning with Probabilistic Client Selection Jiarong Yang Yuan Liu Fangjiong Chen Wen Chen Changle Li FedML 39 5 0 28 Nov 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 16 0 0 26 Nov 2023
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification Vasilis Siomos Sergio Naval Marimont Jonathan Passerat-Palmbach G. Tarroni 40 0 0 24 Nov 2023
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems Ruixuan Liu Ming Hu Zeke Xia Jun Xia Peng Zhang Yihao Huang Yang Liu Mingsong Chen FedML 35 6 0 23 Nov 2023
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation Shourya Bose Yu Zhang Kibaek Kim 26 3 0 21 Nov 2023
Leveraging Function Space Aggregation for Federated Learning at Scale Nikita Dhawan Nicole Mitchell Zachary B. Charles Zachary Garrett Gintare Karolina Dziugaite FedML 27 3 0 17 Nov 2023
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 32 6 0 14 Nov 2023
DiLoCo: Distributed Low-Communication Training of Language Models Arthur Douillard Qixuang Feng Andrei A. Rusu Rachita Chhaparia Yani Donchev A. Kuncoro MarcÁurelio Ranzato Arthur Szlam Jiajun Shen 61 31 0 14 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 29 29 0 13 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An Li Shen Han Hu Yong Luo FedML 44 4 0 10 Nov 2023
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection Taehyeon Kim Eric Lin Junu Lee Christian Lau Vaikkunth Mugunthan FedML 20 4 0 26 Oct 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition Sara Pieri Jose Renato Restom Samuel Horvath Hisham Cholakkal FedML 27 8 0 23 Oct 2023
Coordinated Replay Sample Selection for Continual Federated Learning Jack Good Jimit Majmudar Christophe Dupuy Jixuan Wang Charith Peris Clement Chung Richard Zemel Rahul Gupta 25 2 0 23 Oct 2023
Federated learning compression designed for lightweight communications Lucas Grativol Ribeiro Mathieu Léonardon Guillaume Muller Virginie Fresse Matthieu Arzel FedML 32 3 0 23 Oct 2023
A Quadratic Synchronization Rule for Distributed Deep Learning Xinran Gu Kaifeng Lyu Sanjeev Arora Jingzhao Zhang Longbo Huang 54 1 0 22 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 23 11 0 16 Oct 2023
User Inference Attacks on Large Language Models Nikhil Kandpal Krishna Pillutla Alina Oprea Peter Kairouz Christopher A. Choquette-Choo Zheng Xu SILM AAML 44 15 0 13 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 16 0 0 11 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao Zihan Chen Songshan Liu Hualiang Wang Yang Feng Jinxiang Hao Qiufeng Wang Jian Wu Howard H. Yang Zuo-Qiang Liu FedML 32 10 0 11 Oct 2023
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning Christopher A. Choquette-Choo Krishnamurthy Dvijotham Krishna Pillutla Arun Ganesh Thomas Steinke Abhradeep Thakurta 36 13 0 10 Oct 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 31 2 0 10 Oct 2023
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications Azim Akhtarshenas Mohammad Ali Vahedifar Navid Ayoobi B. Maham Tohid Alizadeh Sina Ebrahimi David López-Pérez FedML 33 5 0 08 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 42 9 0 06 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 38 0 0 06 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu Zeyu Wang Jieru Mei Liangqiong Qu Alan L. Yuille Cihang Xie Yuyin Zhou FedML 29 1 0 06 Oct 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning Xidong Wu Jianhui Sun Zhengmian Hu Aidong Zhang Heng-Chiao Huang FedML 105 12 0 05 Oct 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 16 0 0 05 Oct 2023
FedNAR: Federated Optimization with Normalized Annealing Regularization Junbo Li Ang Li Chong Tian Qirong Ho Eric P. Xing Hongyi Wang FedML 30 5 0 04 Oct 2023
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent Ziyao Wang Jianyu Wang Ang Li FedML 32 2 0 04 Oct 2023
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly Herbert Woisetschläger Alexander Erben Shiqiang Wang R. Mayer Hans-Arno Jacobsen FedML 37 17 0 04 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 17 1 0 04 Oct 2023
Heterogeneous Federated Learning Using Knowledge Codistillation Jared Lichtarge Ehsan Amid Shankar Kumar Tien-Ju Yang Rohan Anil Rajiv Mathews FedML 34 0 0 04 Oct 2023
Federated Conditional Stochastic Optimization Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 44 4 0 04 Oct 2023
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning Debora Caldarola Barbara Caputo Marco Ciccone FedML 13 7 0 02 Oct 2023
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things Samiul Alam Tuo Zhang Tiantian Feng Hui Shen Zhichao Cao ... JeongGil Ko Kiran Somasundaram Shrikanth S. Narayanan Salman Avestimehr Mi Zhang 38 11 0 29 Sep 2023
Federated Learning with Differential Privacy for End-to-End Speech Recognition Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Tatiana Likhomanenko 45 8 0 29 Sep 2023
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets Fatemeh Tavakoli D. B. Emerson Sana Ayromlou John Jewell Amrit Krishnan Yuchong Zhang A. Verma Fahad Razak FedML 36 1 0 28 Sep 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 41 52 0 27 Sep 2023