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Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data Wenhao Wang Zijie Yu Guangyi Liu J.N. Zhang Tian Jin Yanfeng Wang FedML 102 1 0 07 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 100 1 0 06 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 99 1 0 06 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 176 0 0 06 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning Shahrzad Kiani Franziska Boenisch S. Draper FedML 118 0 0 06 Mar 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis Jinwoo Lim Suhyun Kim Soo-Mook Moon FedML 118 0 0 05 Mar 2025
FLAME: A Federated Learning Benchmark for Robotic Manipulation Santiago Bou Betran Alberta Longhini Miguel Vasco Yuchong Zhang Danica Kragic 103 0 0 03 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 107 3 0 03 Mar 2025
Asynchronous Personalized Federated Learning through Global Memorization Fan Wan Yongbin Li Xueqi Qiu Rui Sun Lingling Zhang Xingyu Miao Tianyu Zhang Haoran Duan Yang Long 64 0 0 01 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 127 0 0 01 Mar 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours Nikhil Churamani Saksham Checker Fethiye Irmak Dogan Hao-Tien Lewis Chiang Hatice Gunes FedML 160 1 0 24 Feb 2025
Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization Fernando Spadea Oshani Seneviratne 80 1 0 21 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 101 0 0 21 Feb 2025
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
Secure Visual Data Processing via Federated Learning Pedro Santos Tânia Carvalho Filipe Magalhães Luís Antunes FedML 87 0 0 09 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 113 0 0 03 Feb 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Judith Sáinz-Pardo Díaz Á. García 203 0 0 28 Jan 2025
Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity Niklas Babendererde Haozhe Zhu Moritz Fuchs J. Stieber Anirban Mukhopadhyay FedML OOD 133 0 0 08 Jan 2025
A Unified Analysis of Federated Learning with Arbitrary Client Participation Shiqiang Wang Mingyue Ji FedML 156 59 0 31 Dec 2024
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization Afsaneh Mahmoudi Ming Xiao Emil Björnson 121 0 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
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 154 0 0 20 Dec 2024
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Sajal K. Das FedML 121 2 0 16 Dec 2024
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Minjun Kim Minjee Kim Jinhoon Jeong FedML MedIm OOD 137 0 0 16 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks Afsaneh Mahmoudi Emil Björnson 168 1 0 14 Dec 2024
Impact of Privacy Parameters on Deep Learning Models for Image Classification Basanta Chaulagain 96 0 0 09 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 162 0 0 09 Dec 2024
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting Nikolaos Pavlidis V. Perifanis Selim F. Yilmaz F. Wilhelmi M. Miozzo P. Efraimidis R. Koutsiamanis Pavol Mulinka Paolo Dini 82 2 0 05 Dec 2024
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning Shayan Mohajer Hamidi Ali Bereyhi S. Asaad H. Vincent Poor 127 1 0 05 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 145 2 0 02 Dec 2024
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces Tianwang Jia Lubin Meng Siyang Li Jiajing Liu Dongrui Wu 207 4 0 02 Dec 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning Zhixu Tao I. Mason Sanjeev R. Kulkarni Xavier Boix MoMe FedML 131 7 0 27 Nov 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 166 1 0 25 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 189 0 0 23 Nov 2024
Federated Learning Client Pruning for Noisy Labels Mahdi Morafah Hojin Chang Chong Chen Bill Lin 98 1 0 11 Nov 2024
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis Zhijie Chen Qiaobo Li A. Banerjee FedML 114 0 0 11 Nov 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 133 0 0 06 Nov 2024
Federated Learning Clients Clustering with Adaptation to Data Drifts Minghao Li Dmitrii Avdiukhin Rana Shahout Nikita Ivkin Vladimir Braverman Minlan Yu FedML 77 0 0 03 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 73 1 0 31 Oct 2024
On Sampling Strategies for Spectral Model Sharding Denis Korzhenkov Christos Louizos FedML 69 0 0 31 Oct 2024
(FL) $^2$ : Overcoming Few Labels in Federated Semi-Supervised Learning Seungjoo Lee Thanh-Long V. Le Jaemin Shin Sung-Ju Lee FedML 112 2 0 30 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 141 9 0 27 Oct 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Jianfei Chen Jingfeng Xue Yanjie Wang Zhenyan Liu Lu Huang FedML 64 1 0 24 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 142 2 0 24 Oct 2024
Distributed Learning for UAV Swarms Chen Hu Hanchi Ren Jingjing Deng Xianghua Xie FedML 51 0 0 21 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 79 0 0 21 Oct 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity Handi Zhang Langchen Liu Lu Lu FedML 96 1 0 17 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
FedECADO: A Dynamical System Model of Federated Learning Aayushya Agarwal Gauri Joshi L. Pileggi FedML 55 0 0 13 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 54 0 0 11 Oct 2024