Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 792 papers shown

Title
FedSampling: A Better Sampling Strategy for Federated Learning Tao Qi Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 20 5 0 25 Jun 2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity Bo-wen Li Yasin Esfandiari Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 27 3 0 23 Jun 2023
Adaptive Federated Learning with Auto-Tuned Clients J. Kim Taha Toghani César A. Uribe Anastasios Kyrillidis FedML 48 6 0 19 Jun 2023
Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids Cihat Keçeci K. Davis E. Serpedin 17 0 0 17 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 37 48 0 15 Jun 2023
Your Room is not Private: Gradient Inversion Attack on Reinforcement Learning Miao Li Wenhao Ding Ding Zhao AAML 35 0 0 15 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 45 39 0 14 Jun 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training Christopher A. Choquette-Choo Arun Ganesh Ryan McKenna H. B. McMahan Keith Rush Abhradeep Thakurta Zheng Xu FedML 33 36 0 13 Jun 2023
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! Romain Chor Abdellatif Zaidi Milad Sefidgaran Yijun Wan FedML 32 6 0 09 Jun 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Yan Sun Li Shen Dacheng Tao FedML 20 14 0 09 Jun 2023
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications Ege C. Kaya M. Sahin Abolfazl Hashemi 30 4 0 09 Jun 2023
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems Herbert Woisetschläger Alexander Isenko R. Mayer Hans-Arno Jacobsen FedML 24 3 0 08 Jun 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 31 12 0 08 Jun 2023
Phoenix: A Federated Generative Diffusion Model Fiona Victoria Stanley Jothiraj A. Mashhadi DiffM 44 18 0 07 Jun 2023
Guiding The Last Layer in Federated Learning with Pre-Trained Models G. Legate Nicolas Bernier Lucas Caccia Edouard Oyallon Eugene Belilovsky FedML 24 8 0 06 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspective Peng Yan Guodong Long FedML 11 4 0 06 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 38 0 0 06 Jun 2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent Tongtian Zhu Fengxiang He Kaixuan Chen Mingli Song Dacheng Tao 34 15 0 05 Jun 2023
Federated Deep Learning for Intrusion Detection in IoT Networks Othmane Belarbi Theodoros Spyridopoulos Eirini Anthi Ioannis Mavromatis P. Carnelli Aftab Khan OOD 31 12 0 05 Jun 2023
Forgettable Federated Linear Learning with Certified Data Removal Rui Jin Minghui Chen Qiong Zhang Xiaoxiao Li MU 10 0 0 03 Jun 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning Tuo Zhang Tiantian Feng Samiul Alam Dimitrios Dimitriadis Sunwoo Lee Mi Zhang Shrikanth S. Narayanan Salman Avestimehr FedML 21 27 0 03 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 34 0 0 02 Jun 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging Jiamian Wang Zong-Jhe Wu Yulun Zhang Xin Yuan Tao R. Lin Zhiqiang Tao FedML 70 3 0 01 Jun 2023
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning M.Yashwanth Gaurav Kumar Nayak Aryaveer Singh Yogesh Singh Anirban Chakraborty FedML 37 1 0 31 May 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 29 15 0 30 May 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 43 61 0 30 May 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 42 0 0 29 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 52 167 0 29 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 41 11 0 29 May 2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms Tianshu Zhang Changchang Liu Wei-Han Lee Yu-Chuan Su Huan Sun FedML 22 4 0 26 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 45 10 0 24 May 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 18 3 0 23 May 2023
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu Xingchen Ma Matthew B. Blaschko FedML 41 20 0 21 May 2023
Can Public Large Language Models Help Private Cross-device Federated Learning? Wei Ping Yibo Jacky Zhang Yuan Cao Bo-wen Li H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 29 37 0 20 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 42 33 0 19 May 2023
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping Haifeng Wen Hong Xing Osvaldo Simeone 33 1 0 18 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps Jed Mills Jia Hu Geyong Min FedML 30 8 0 16 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 23 2 0 15 May 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 40 12 0 13 May 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 40 113 0 09 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 38 9 0 09 May 2023
Flame: Simplifying Topology Extension in Federated Learning Harshit Daga Jae-Kwang Shin D. Garg Ada Gavrilovska Myungjin Lee Ramana Rao Kompella AI4CE 28 10 0 09 May 2023
MrTF: Model Refinery for Transductive Federated Learning Xin-Chun Li Yang Yang De-Chuan Zhan 38 3 0 07 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 36 30 0 06 May 2023
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval Zahra Tabatabaei Yuandou Wang Adrián Colomer Javier Oliver Moll Zhiming Zhao Valery Naranjo MedIm 15 9 0 05 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 32 1 0 04 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 116 48 0 04 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 85 40 0 01 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 41 2 0 01 May 2023
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 42 6 0 28 Apr 2023