Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

Papers citing "Federated Optimization: Distributed Machine Learning for On-Device Intelligence"

50 / 733 papers shown

Title
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning Wenke Huang J. J. Valero-Mas Dasaem Jeong Bo Du FedML 35 44 0 28 Sep 2023
Distributed Conjugate Gradient Method via Conjugate Direction Tracking O. Shorinwa Mac Schwager 14 2 0 21 Sep 2023
Toward efficient resource utilization at edge nodes in federated learning Sadi Alawadi Addi Ait-Mlouk Salman Toor A. Hellander FedML 33 5 0 19 Sep 2023
Verifiable Privacy-Preserving Computing Tariq Bontekoe Dimka Karastoyanova Fatih Turkmen 18 3 0 15 Sep 2023
Client-side Gradient Inversion Against Federated Learning from Poisoning Jiaheng Wei Yanjun Zhang Leo Yu Zhang Chao Chen Shirui Pan Kok-Leong Ong Jinchao Zhang Yang Xiang AAML 28 3 0 14 Sep 2023
Sparse Federated Training of Object Detection in the Internet of Vehicles Luping Rao Chuan Ma Ming Ding Yuwen Qian Lu Zhou Zhe Liu 13 2 0 07 Sep 2023
On the dynamics of multi agent nonlinear filtering and learning S. Talebi Danilo P. Mandic AI4CE 19 1 0 07 Sep 2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data Feng Zhu Jingjing Zhang Shengyun Liu Xin Wang FedML 21 1 0 04 Sep 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning Weirui Kuang Bingchen Qian Zitao Li Daoyuan Chen Dawei Gao Xuchen Pan Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 15 112 0 01 Sep 2023
Leveraging Learning Metrics for Improved Federated Learning Andre Fu FedML 14 0 0 01 Sep 2023
Securing Blockchain Systems: A Novel Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts Tran Viet Khoa Dongho Son Chi-Hieu Nguyen D. Hoang Diep N. Nguyen ... T. T. T. Quynh Trong-Minh Hoang Nguyen Viet Ha E. Dutkiewicz Abu Alsheikh AAML 11 1 0 30 Aug 2023
DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT Xiaofeng Xue Haokun Mao Qiong Li FedML 26 1 0 25 Aug 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 26 20 0 24 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee Minchan Jeong Sangmook Kim Jaehoon Oh Se-Young Yun FedML 26 8 0 24 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao-quan Song Junze Yin 29 18 0 21 Aug 2023
Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap Shiyuan Zuo Rongfei Fan Han Hu Ningsong Zhang Shiming Gong FedML 13 2 0 21 Aug 2023
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies J. Delgado-Fernandez Martin Brennecke Tom Josua Barbereau Alexander Rieger Gilbert Fridgen FedML AI4CE 29 1 0 04 Aug 2023
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT Shihao Shen Yiwen Han Xiaofei Wang Yan Wang OffRL 13 79 0 01 Aug 2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings Akihiro Mizoguchi A. Bogdanova A. Imakura T. Sakurai FedML 18 1 0 01 Aug 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 22 0 0 29 Jul 2023
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization V. Yfantis A. Wagner Martin Ruskowski FedML 15 1 0 25 Jul 2023
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning Yao Wen GuoPeng Zhang Kezhi Wang Kun Yang FedML 30 3 0 21 Jul 2023
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks Yulan Gao Ziqiang Ye Yue Xiao Wei Xiang FedML 18 1 0 19 Jul 2023
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments Navneet Agrawal Renato L. G. Cavalcante M. Yukawa S. Stańczak 25 3 0 10 Jul 2023
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation Tengchan Zeng A. Ferdowsi Omid Semiari Walid Saad Choong Seon Hong 11 3 0 05 Jul 2023
An Algorithm for Persistent Homology Computation Using Homomorphic Encryption Dominic Gold Koray Karabina Francis C. Motta 23 1 0 04 Jul 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 37 6 0 26 Jun 2023
Decentralized Healthcare Systems with Federated Learning and Blockchain Abdulrezzak Zekiye Öznur Özkasap FedML OOD 14 0 0 24 Jun 2023
Private Networked Federated Learning for Nonsmooth Objectives Franccois Gauthier C. Gratton Naveen K. D. Venkategowda Stefan Werner FedML 17 0 0 24 Jun 2023
Blockchain-based Federated Learning for Decentralized Energy Management Systems Abdulrezzak Zekiye Öznur Özkasap 18 3 0 23 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
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels Hang Liu Jiahe Yan Y. Zhang 21 3 0 19 Jun 2023
Gradient is All You Need? Konstantin Riedl T. Klock Carina Geldhauser M. Fornasier 24 6 0 16 Jun 2023
Your Room is not Private: Gradient Inversion Attack on Reinforcement Learning Miao Li Wenhao Ding Ding Zhao AAML 27 0 0 15 Jun 2023
Temporal Gradient Inversion Attacks with Robust Optimization Bowen Li Jie Li Hanlin Gu Ruoxin Chen Jie Li Chentao Wu Na Ruan Xueming Si Lixin Fan AAML 33 2 0 13 Jun 2023
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach Yan Huang Jinming Xu 25 2 0 12 Jun 2023
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy Soroosh Tayebi Arasteh Mahshad Lotfinia T. Nolte Marwin Saehn P. Isfort Christiane Kuhl S. Nebelung Georgios Kaissis Daniel Truhn MedIm 20 8 0 10 Jun 2023
Personalized Graph Federated Learning with Differential Privacy François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 26 7 0 10 Jun 2023
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning Baihe Huang Sai Praneeth Karimireddy Michael I. Jordan FedML 22 6 0 08 Jun 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates Siqi Zhang S. Choudhury Sebastian U. Stich Nicolas Loizou FedML 19 3 0 08 Jun 2023
Guiding The Last Layer in Federated Learning with Pre-Trained Models G. Legate Nicolas Bernier Lucas Caccia Edouard Oyallon Eugene Belilovsky FedML 18 8 0 06 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 27 4 0 06 Jun 2023
Resource-Efficient Federated Hyperdimensional Computing Nikita Zeulin O. Galinina N. Himayat Sergey D. Andreev 22 1 0 02 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning Xing Yi Rongpeng Li Chenghui Peng Fei-Yue Wang Jianjun Wu Zhifeng Zhao 22 2 0 01 Jun 2023
FACT: Federated Adversarial Cross Training Stefan Schrod Jonas Lippl Andreas Schäfer Michael Altenbuchinger FedML HILM 16 3 0 01 Jun 2023
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers D. Nadalini Manuele Rusci Luca Benini Francesco Conti 28 15 0 30 May 2023
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning Xiaojin Zhang Yan Kang Lixin Fan Kai Chen Qiang Yang FedML 21 6 0 28 May 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 22 9 0 24 May 2023
Fair Differentially Private Federated Learning Framework Ayush K. Varshney Sonakshi Garg Arka P. Ghosh Sargam Gupta FedML 15 0 0 23 May 2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 17 0 0 23 May 2023