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Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 82 15 0 05 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 82 1 0 03 Feb 2024
DFML: Decentralized Federated Mutual Learning Yasser H. Khalil A. Estiri Mahdi Beitollahi Nader Asadi S. Hemati Xu Li Guojun Zhang Xi Chen 32 1 0 02 Feb 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 109 10 0 02 Feb 2024
FedFair^3: Unlocking Threefold Fairness in Federated Learning Simin Javaherian Sanjeev Panta Shelby Williams Md Sirajul Islam Li Chen FedML 90 4 0 29 Jan 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality Huy Q. Le Chu Myaet Thwal Yu Qiao Ye Lin Tun Minh N. H. Nguyen Choong Seon Hong Choong Seon Hong 117 7 0 25 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 112 1 0 23 Jan 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients Mengdi Wang Anna Bodonhelyi Efe Bozkir Enkelejda Kasneci FedML 87 2 0 22 Jan 2024
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection Aydin Abadi Bradley Doyle Francesco Gini Kieron Guinamard S. K. Murakonda ... Steven J. Murdoch Mohammad Naseri Hector Page George Theodorakopoulos Suzanne Weller 88 6 0 19 Jan 2024
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 80 10 0 18 Jan 2024
Asynchronous Local-SGD Training for Language Modeling Bo Liu Rachita Chhaparia Arthur Douillard Satyen Kale Andrei A. Rusu Jiajun Shen Arthur Szlam MarcÁurelio Ranzato FedML 93 11 0 17 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 104 23 0 10 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 100 11 0 10 Jan 2024
Relaxed Contrastive Learning for Federated Learning Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 112 11 0 10 Jan 2024
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation Zhiyuan Wu Tianliu He Sheng Sun Yuwei Wang Min Liu Bo Gao Xue Jiang CLL FedML 68 4 0 01 Jan 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 66 0 0 26 Dec 2023
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 67 0 0 22 Dec 2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai Ye-ling Shi Wei Huang Jingya Wang FedML 104 4 0 21 Dec 2023
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization Pengchao Han Shiqiang Wang Yang Jiao Jianwei Huang FedML 120 5 0 20 Dec 2023
On the Role of Server Momentum in Federated Learning Jianhui Sun Xidong Wu Heng-Chiao Huang Aidong Zhang FedML 118 11 0 19 Dec 2023
Social Learning: Towards Collaborative Learning with Large Language Models Amirkeivan Mohtashami Florian Hartmann Sian Gooding Lukás Zilka Matt Sharifi Blaise Agüera y Arcas 78 12 0 18 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong Gang Yan Shiqiang Wang Jian Li 96 6 0 17 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 96 0 0 17 Dec 2023
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space Mohsin Hasan Guojun Zhang Kaiyang Guo Xi Chen Pascal Poupart FedML 72 9 0 15 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 80 5 0 10 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 61 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 71 37 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 67 7 0 09 Dec 2023
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 60 5 0 09 Dec 2023
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security Ozlem Ceviz Pinar Sadioglu Sevil Sen U. York 53 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 63 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 96 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 26 7 0 04 Dec 2023
Meta-learning Optimizers for Communication-Efficient Learning Charles-Étienne Joseph Benjamin Thérien A. Moudgil Boris Knyazev Eugene Belilovsky 137 2 0 02 Dec 2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone Sai Praneeth Karimireddy Carlo Masone Marco Ciccone FedML 125 2 0 30 Nov 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 118 3 0 29 Nov 2023
Asynchronous Wireless Federated Learning with Probabilistic Client Selection Jiarong Yang Yuan Liu Fangjiong Chen Wen Chen Changle Li FedML 69 8 0 28 Nov 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 71 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 61 1 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 97 7 0 23 Nov 2023
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation Shourya Bose Yu Zhang Kibaek Kim 61 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 84 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 61 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 149 40 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 84 32 0 13 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An Li Shen Han Hu Yong Luo FedML 100 5 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 86 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 65 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 116 3 0 23 Oct 2023
Federated learning compression designed for lightweight communications Lucas Grativol Ribeiro Mathieu Léonardon Guillaume Muller Virginie Fresse Matthieu Arzel FedML 72 3 0 23 Oct 2023