Federated Learning with Buffered Asynchronous Aggregation

11 June 2021

Papers citing "Federated Learning with Buffered Asynchronous Aggregation"

50 / 148 papers shown

Title
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study Gustav A. Baumgart Jaemin Shin Ali Payani Myungjin Lee Ramana Rao Kompella FedML 26 6 0 26 Mar 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images Zaid Tasneem Akshat Dave Abhishek Singh Kushagra Tiwary Praneeth Vepakomma Ashok Veeraraghavan Ramesh Raskar 34 0 0 19 Mar 2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chaeeun Park Sihua Shao FedML 22 1 0 11 Mar 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling Arman Adibi Nicolò Dal Fabbro Luca Schenato Sanjeev R. Kulkarni H. Vincent Poor George J. Pappas Hamed Hassani A. Mitra 27 8 0 19 Feb 2024
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients Xiaolu Wang Zijian Li Shi Jin Jun Zhang FedML 21 3 0 17 Feb 2024
Momentum Approximation in Asynchronous Private Federated Learning Tao Yu Congzheng Song Jianyu Wang Mona Chitnis FedML 35 1 0 14 Feb 2024
Queuing dynamics of asynchronous Federated Learning Louis Leconte Matthieu Jonckheere S. Samsonov Eric Moulines FedML 37 5 0 12 Feb 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo Haotian Gu Xiaoyang Wang Bo Chen Eun Kyung Lee Tamar Eilam Deming Chen K. Nahrstedt FedML 16 1 0 31 Jan 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q. S. Quek Kai Fong Ernest Chong OOD FedML 26 13 0 29 Jan 2024
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems Jikun Gao Ioannis Mavromatis Peizheng Li P. Carnelli Aftab Khan 27 0 0 24 Jan 2024
Asynchronous Local-SGD Training for Language Modeling Bo Liu Rachita Chhaparia Arthur Douillard Satyen Kale Andrei A. Rusu Jiajun Shen Arthur Szlam MarcÁurelio Ranzato FedML 33 10 0 17 Jan 2024
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 41 10 0 23 Dec 2023
On the Role of Server Momentum in Federated Learning Jianhui Sun Xidong Wu Heng-Chiao Huang Aidong Zhang FedML 49 11 0 19 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 49 33 0 14 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 24 31 0 10 Dec 2023
Theoretical Analysis of Impact of Delayed Updates on Decentralized Federated Learning Yong Zeng Siyuan Liu Zhiwei Xu Jie Tian FedML 17 0 0 02 Nov 2023
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization Mathieu Even Anastasia Koloskova Laurent Massoulié FedML 38 13 0 01 Nov 2023
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms Rustem Islamov M. Safaryan Dan Alistarh FedML 21 12 0 31 Oct 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 34 9 0 26 Sep 2023
Communication Efficient Private Federated Learning Using Dithering Burak Hasircioglu Deniz Gunduz FedML 34 7 0 14 Sep 2023
Convergence Analysis of Decentralized ASGD Mauro Dalle Lucca Tosi Martin Theobald 23 2 0 07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size John Chen Chen Dun Anastasios Kyrillidis 13 2 0 07 Sep 2023
Federated Learning in IoT: a Survey from a Resource-Constrained Perspective Ishmeet Kaur 30 2 0 25 Aug 2023
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service Zilinghan Li Shilan He Pranshu Chaturvedi Trung-Hieu Hoang Minseok Ryu ... Jordan D. Fuhrman Maryellen L. Giger Ryan Chard Kibaek Kim Ravi K. Madduri 33 6 0 17 Aug 2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Ke Xu Wen Wang Xue Jiang Bo Gao Jin Lu 32 23 0 15 Aug 2023
Population Expansion for Training Language Models with Private Federated Learning Tatsuki Koga Congzheng Song Martin Pelikan Mona Chitnis FedML 16 1 0 14 Jul 2023
FLGo: A Fully Customizable Federated Learning Platform Z. Wang Xiaoliang Fan Zhaopeng Peng Xueheng Li Ziqi Yang Mingkuan Feng Zhicheng Yang Xiao Liu Cheng-i Wang FedML 19 11 0 21 Jun 2023
Adaptive Federated Learning with Auto-Tuned Clients J. Kim Taha Toghani César A. Uribe Anastasios Kyrillidis FedML 40 6 0 19 Jun 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 33 11 0 29 May 2023
Privacy-Preserving Model Aggregation for Asynchronous Federated Learning Jianxiang Zhao Xiangman Li Jianbing Ni 8 1 0 27 May 2023
FAVANO: Federated AVeraging with Asynchronous NOdes Louis Leconte Van Minh Nguyen Eric Moulines FedML 28 2 0 25 May 2023
Flame: Simplifying Topology Extension in Federated Learning Harshit Daga Jae-Kwang Shin D. Garg Ada Gavrilovska Myungjin Lee Ramana Rao Kompella AI4CE 26 10 0 09 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 108 47 0 04 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li Duanyi Yao Jin Liu FedML 25 28 0 26 Apr 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 26 28 0 14 Apr 2023
Asynchronous Online Federated Learning with Reduced Communication Requirements François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh 15 6 0 27 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 22 1 0 27 Mar 2023
Green Federated Learning Ashkan Yousefpour Sheng Guo Ashish Shenoy Sayan Ghosh Pierre Stock Kiwan Maeng Schalk-Willem Kruger Michael G. Rabbat Carole-Jean Wu Ilya Mironov FedML AI4CE 38 10 0 26 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 111 26 0 23 Mar 2023
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation Joshua C. Zhao Atul Sharma A. Elkordy Yahya H. Ezzeldin Salman Avestimehr S. Bagchi AAML FedML 30 28 0 21 Mar 2023
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning Xinnan Yuan W. Ni Ming Ding Kang Wei Jun Li H. Vincent Poor FedML 27 37 0 07 Mar 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 27 1 0 27 Feb 2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups Ioannis Arapakis P. Papadopoulos Kleomenis Katevas Diego Perino 19 7 0 26 Feb 2023
FLINT: A Platform for Federated Learning Integration Ewen N. Wang Ajaykumar Kannan Yuefeng Liang Boyi Chen Mosharaf Chowdhury 33 24 0 24 Feb 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasia Koloskova Ryan McKenna Zachary B. Charles Keith Rush Brendan McMahan 27 8 0 02 Feb 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks Xiaofan Yu L. Cherkasova Hars Vardhan Quanling Zhao Emily Ekaireb Xiyuan Zhang A. Mazumdar T. Rosing 17 24 0 17 Jan 2023
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks Chung-Hsuan Hu Zheng Chen Erik G. Larsson 22 64 0 14 Dec 2022
AFLGuard: Byzantine-robust Asynchronous Federated Learning Minghong Fang Jia-Wei Liu Neil Zhenqiang Gong Elizabeth S. Bentley AAML 17 25 0 13 Dec 2022
GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques Hamidreza Mahini H. Mousavi Masoud Daneshtalab FedML 20 0 0 08 Dec 2022