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Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
Centroid Approximation for Byzantine-Tolerant Federated Learning Mélanie Cambus Darya Melnyk Tijana Milentijević Stefan Schmid FedML 20 0 0 18 Jun 2025
Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability M. Crawshaw Blake Woodworth Mingrui Liu 29 0 0 16 Jun 2025
AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning Chaoyi Lu Yiding Sun Jinqian Chen Zhichuan Yang Jiangming Pan Jihua Zhu 32 0 0 15 Jun 2025
FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification Jun Bai Rajib Rana Di Wu Youyang Qu Xiaohui Tao J. Zhang 36 0 0 11 Jun 2025
Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs Rodion Oblovatny Alexandra Bazarova Alexey Zaytsev 73 0 0 11 Jun 2025
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Z. Niu FedML 17 0 0 09 Jun 2025
Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning Zhe Li Bicheng Ying Zidong Liu Chaosheng Dong Haibo Yang FedML 65 0 0 03 Jun 2025
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Divyansh Jhunjhunwala Arian Raje Madan Ravi Ganesh Chaithanya Kumar Mummadi Chaoqun Dong Jiawei Zhou Wan-Yi Lin Gauri Joshi Zhenzhen Li 50 0 0 01 Jun 2025
Federated Foundation Model for GI Endoscopy Images Alina Devkota Annahita Amireskandari Joel Palko Shyam Thakkar Donald Adjeroh Xiajun Jiang Binod Bhattarai P. Gyawali MedIm 49 0 0 30 May 2025
ByzFL: Research Framework for Robust Federated Learning Marc González R. Guerraoui Rafael Pinot Geovani Rizk John Stephan François Taïani FedML 41 0 0 30 May 2025
MuLoCo: Muon is a practical inner optimizer for DiLoCo Benjamin Thérien Xiaolong Huang Irina Rish Eugene Belilovsky MoE 49 0 0 29 May 2025
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections Wei Zhuo Zhaohuan Zhan Ziduo Yang Han Yu FedML 22 0 0 29 May 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation Srijith Nair Michael Lin Amirreza Talebi Peizhong Ju Elizabeth S. Bentley Jia Liu FedML 42 0 0 29 May 2025
Accelerated Training of Federated Learning via Second-Order Methods Mrinmay Sen Sidhant R Nair C Krishna Mohan FedML 59 0 0 29 May 2025
Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning Hongyao Chen Tianyang Xu Xiaojun Wu Josef Kittler FedML 30 0 0 28 May 2025
Inclusive, Differentially Private Federated Learning for Clinical Data Santhosh Parampottupadam Melih Coşğun Sarthak Pati M. Zenk Saikat Roy Dimitrios Bounias Benjamin Hamm Sinem Sav R. Floca Klaus H. Maier-Hein FedML 65 0 0 28 May 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Yuanzhe Peng Jieming Bian Lei Wang Yin Huang Jie Xu 26 0 0 27 May 2025
Federated Instrumental Variable Analysis via Federated Generalized Method of Moments Geetika Somya Tyagi Bapi Chatterjee FedML 34 0 0 27 May 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Junming Liu Yanting Gao Siyuan Meng Yifei Sun Aoqi Wu Yufei Jin Yirong Chen Ding Wang Guosun Zeng 72 1 0 26 May 2025
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration Huan Wang Haoran Li H. Chen Jun Yan Lijuan Wang Jiahua Shi Shiping Chen Jun Shen FedML 41 0 0 25 May 2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling Sara Alosaime Arshad Jhumka FedML 52 0 0 19 May 2025
FedDuA: Doubly Adaptive Federated Learning Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 85 0 0 16 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 71 0 0 15 May 2025
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Shunsuke Yoneda Valdemar Švábenský Gen Li Daisuke Deguchi Atsushi Shimada 59 0 0 14 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 117 0 0 12 May 2025
Enhancing Robustness to Missing Modalities through Clustered Federated Learning L. Yang Wei Emma Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 103 0 0 11 May 2025
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 120 1 0 29 Apr 2025
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization Diying Yang Yingwei Hou Danyang Xiao Weigang Wu FedML 86 0 0 28 Apr 2025
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Jing Chen Yangqiu Song Jin Dong Jianxin Li Philip S. Yu 155 1 0 27 Apr 2025
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning Sarang S Druva Dhakshinamoorthy Aditya Shiva Sharma Yuvraj Singh Bhadauria Siddharth Chaitra Vivek Arihant Bansal Arnab K. Paul FedML 213 0 0 26 Apr 2025
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training Hiroki Naganuma Xinzhi Zhang Man-Chung Yue Ioannis Mitliagkas Philipp A. Witte Russell J. Hewett Yin Tat Lee 259 0 0 25 Apr 2025
Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 188 2 0 23 Apr 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models Gergely Németh Eros Fani Yeat Jeng Ng Barbara Caputo M. Lozano Nuria Oliver Novi Quadrianto FedML 75 0 0 15 Apr 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 102 0 0 14 Apr 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 108 0 0 08 Apr 2025
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista MU 88 0 0 08 Apr 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 171 0 0 07 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 121 1 0 05 Apr 2025
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation Kanishka Ranaweera Azadeh Ghari Neiat Xiao Liu Bipasha Kashyap P. Pathirana FedML 99 0 0 29 Mar 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Ziyi Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 121 0 0 26 Mar 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 101 0 0 24 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 116 0 0 20 Mar 2025
Federated Continual Instruction Tuning Haiyang Guo Fanhu Zeng Fei Zhu Wenzhuo Liu Da-Han Wang Jian Xu Xu-Yao Zhang Cheng-Lin Liu CLL FedML 172 2 0 17 Mar 2025
FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design Mingzhu Wu Jianan Jiang Xinglin Li Hanhui Deng Di Wu FedML 138 0 0 16 Mar 2025
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim Sungmin Kang Sunwoo Lee FedML 76 0 0 14 Mar 2025
Drift-Aware Federated Learning: A Causal Perspective Yunjie Fang Sheng Wu Tao Yang X. Wu Bo Hu FedML 136 0 0 13 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 161 0 0 13 Mar 2025
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo Zachary B. Charles Gabriel Teston Lucio Dery Keith Rush Nova Fallen Zachary Garrett Arthur Szlam Arthur Douillard 461 6 0 12 Mar 2025
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast Yiting Zheng Bohan Lin Jinqian Chen Jihua Zhu FedML 66 0 0 09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 262 0 0 09 Mar 2025