v1v2v3v4v5 (latest)

Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation Tomàs Ortega Hamid Jafarkhani FedML 85 6 0 01 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 77 17 0 30 Jul 2023
The Applicability of Federated Learning to Official Statistics Joshua Stock Oliver Hauke Julius Weissmann Hannes Federrath FedML 29 1 0 28 Jul 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 83 11 0 28 Jul 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning Yaodong Yu Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 86 4 0 25 Jul 2023
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging Meirui Jiang Yuan Zhong Anjie Le Xiaoxiao Li Qianming Dou FedML 93 5 0 24 Jul 2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning Chia-Hsiang Kao Yu-Chiang Frank Wang FedML 110 1 0 19 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 89 31 0 18 Jul 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho Gauri Joshi Dimitrios Dimitriadis FedML 68 4 0 17 Jul 2023
DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning Bocheng Chen Nikolay Ivanov Guangjing Wang Qiben Yan 72 6 0 16 Jul 2023
Population Expansion for Training Language Models with Private Federated Learning Tatsuki Koga Congzheng Song Martin Pelikan Mona Chitnis FedML 50 1 0 14 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise Antesh Upadhyay Abolfazl Hashemi 95 9 0 14 Jul 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning Yasar Abbas Ur Rehman Yan Gao Pedro Gusmão Mina Alibeigi Jiajun Shen Nicholas D. Lane FedML 88 19 0 14 Jul 2023
Locally Adaptive Federated Learning Sohom Mukherjee Nicolas Loizou Sebastian U. Stich FedML 56 2 0 12 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 111 0 0 12 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 82 13 0 11 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 87 3 0 05 Jul 2023
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images Sunder Ali Khowaja Kapal Dev Syed Muhammad Anwar M. Linguraru FedML 40 3 0 04 Jul 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML 80 2 0 02 Jul 2023
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures Quentin Pajon Swan Serre Hugo Wissocq Léo Rabaud Siba Haidar Antoun Yaacoub FedML 43 2 0 29 Jun 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 145 20 0 28 Jun 2023
Federated Generative Learning with Foundation Models Jie Zhang Xiaohua Qi Bo Zhao FedML 116 22 0 28 Jun 2023
Federated Learning on Non-iid Data via Local and Global Distillation Xiaolin Zheng Senci Ying Fei Zheng Jianwei Yin Longfei Zheng Chaochao Chen Fengqin Dong FedML 84 7 0 26 Jun 2023
A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions Ozlem Ceviz Pinar Sadioglu Sevil Sen 43 15 0 25 Jun 2023
FedSampling: A Better Sampling Strategy for Federated Learning Tao Qi Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 51 7 0 25 Jun 2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity Yue Liu Yasin Esfandiari Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 69 3 0 23 Jun 2023
Adaptive Federated Learning with Auto-Tuned Clients Junhyung Lyle Kim Taha Toghani César A. Uribe Anastasios Kyrillidis FedML 149 6 0 19 Jun 2023
Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids Cihat Keçeci K. Davis E. Serpedin 47 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 124 58 0 15 Jun 2023
Your Room is not Private: Gradient Inversion Attack on Reinforcement Learning Miao Li Wenhao Ding Ding Zhao AAML 66 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 114 50 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 111 41 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 79 7 0 09 Jun 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Yan Sun Li Shen Dacheng Tao FedML 86 16 0 09 Jun 2023
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications Ege C. Kaya M. Sahin Abolfazl Hashemi 65 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 63 4 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 123 17 0 08 Jun 2023
Phoenix: A Federated Generative Diffusion Model Fiona Victoria Stanley Jothiraj A. Mashhadi DiffM 130 19 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 56 10 0 06 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspective Peng Yan Guodong Long FedML 39 5 0 06 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 93 0 0 06 Jun 2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent Tongtian Zhu Fengxiang He Kaixuan Chen Mingli Song Dacheng Tao 160 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 94 12 0 05 Jun 2023
Forgettable Federated Linear Learning with Certified Data Removal Rui Jin Minghui Chen Qiong Zhang Xiaoxiao Li MU 89 11 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 77 29 0 03 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 113 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 154 4 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 98 1 0 31 May 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 90 17 0 30 May 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 96 68 0 30 May 2023