Federated Learning with Buffered Asynchronous Aggregation

11 June 2021

Papers citing "Federated Learning with Buffered Asynchronous Aggregation"

50 / 148 papers shown

Title
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs Samaneh Mohammadi Iraklis Symeonidis Ali Balador Francesco Flammini FedML 28 0 0 11 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato C. Hong AI4CE 31 0 0 11 May 2025
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization Diying Yang Yingwei Hou Danyang Xiao Weigang Wu FedML 39 0 0 28 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 57 0 0 23 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 34 0 0 05 Apr 2025
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning Yuyang Qiu Kibaek Kim Farzad Yousefian FedML 56 0 0 02 Apr 2025
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 103 0 0 26 Mar 2025
Accelerating MoE Model Inference with Expert Sharding Oana Balmau Anne-Marie Kermarrec Rafael Pires André Loureiro Espírito Santo M. Vos Milos Vujasinovic MoE 64 0 0 11 Mar 2025
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence Ziruo Hao Zhenhua Cui Tao Yang Bo Hu X. Wu Hui Feng 40 1 0 06 Mar 2025
FLStore: Efficient Federated Learning Storage for non-training workloads Ahmad Faraz Khan Samuel Fountain Ahmed M. Abdelmoniem A. R. Butt A. Anwar FedML 48 0 0 01 Mar 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training Md Sirajul Islam Sanjeev Panta F. Xu Xu Yuan Li Chen N. Tzeng FedML 36 0 0 22 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 60 0 0 21 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning A. Maranjyan El Mehdi Saad Peter Richtárik Francesco Orabona 49 0 0 02 Feb 2025
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models Jialiang Cheng Ning Gao Yun Yue Zhiling Ye Jiadi Jiang Jian Sha OffRL 77 0 0 10 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 102 0 0 09 Dec 2024
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation Liangrui Pan Mao Huang Lian-min Wang Pinle Qin Shaoliang Peng FedML 29 0 0 07 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 39 0 0 06 Nov 2024
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations Grace Kim Luca Powell F. Svoboda Nicholas D. Lane FedML 21 0 0 31 Oct 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation Sayan Biswas Anne-Marie Kermarrec Alexis Marouani Rafael Pires Rishi Sharma M. Vos 23 1 0 16 Oct 2024
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients Yan Li Mingyi Li Xiao Zhang Guangwei Xu Feng Chen Yuan Yuan Yifei Zou Mengying Zhao Jianbo Lu Dongxiao Yu 28 0 0 11 Oct 2024
MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times A. Maranjyan Omar Shaikh Omar Peter Richtárik 24 3 0 05 Oct 2024
Quantized and Asynchronous Federated Learning Tomàs Ortega Hamid Jafarkhani FedML 26 0 0 30 Sep 2024
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 26 5 0 26 Sep 2024
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework Yuxin Zhang Zheng Lin Zhe Chen Zihan Fang Wenjun Zhu Xianhao Chen Jin Zhao Yue Gao FedML 25 17 0 20 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 52 5 0 17 Sep 2024
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation Qi Le Enmao Diao Xinran Wang Vahid Tarokh Jie Ding Ali Anwar FedML 32 1 0 08 Sep 2024
GAS: Generative Activation-Aided Asynchronous Split Federated Learning Jiarong Yang Yuan Liu 33 0 0 02 Sep 2024
A Novel Buffered Federated Learning Framework for Privacy-Driven Anomaly Detection in IIoT Samira Kamali Poorazad Chafika Benzaid T. Taleb 23 2 0 16 Aug 2024
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning Nicolò Dal Fabbro Arman Adibi Aritra Mitra George J. Pappas 40 1 0 29 Jul 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang Shiqiang Wang Songtao Lu Jinghui Chen FedML 34 3 0 25 Jul 2024
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning Jiajun Song Jiajun Luo Rongwei Lu Shuzhao Xie Bin Chen Zhi Wang FedML 21 0 0 06 Jul 2024
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods Tim Tsz-Kit Lau Weijian Li Chenwei Xu Han Liu Mladen Kolar 41 1 0 20 Jun 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning Kun Wang Yi-Rui Yang Wu-Jun Li 35 0 0 05 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 26 8 0 05 Jun 2024
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting Jeffrey Ma Alan Tu Yiling Chen Vijay Janapa Reddi FedML 38 0 0 05 Jun 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 42 1 0 03 Jun 2024
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training Adel Nabli Louis Fournier Pierre Erbacher Louis Serrano Eugene Belilovsky Edouard Oyallon FedML 46 1 0 03 Jun 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 43 1 0 01 Jun 2024
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data Xiaolu Wang Yuchang Sun Hoi-To Wai Jun Zhang 38 0 0 27 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 83 2 0 25 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 38 0 0 24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 35 1 0 24 May 2024
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays Charikleia Iakovidou Kibaek Kim FedML 35 2 0 16 May 2024
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations Yumeng Shao Jun Li Long Shi Kang Wei Ming Ding Qianmu Li Zengxiang Li Wen Chen Shi Jin FedML 27 0 0 11 May 2024
LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning Shixiong Qi K. K. Ramakrishnan Myungjin Lee 24 2 0 05 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments Mohak Chadha Alexander Jensen Jianfeng Gu Osama Abboud Michael Gerndt 29 0 0 22 Apr 2024
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization Xu Yang Jiapeng Zhang Qifeng Zhang Zhuo Tang MQ 31 0 0 21 Apr 2024
FedTrans: Efficient Federated Learning via Multi-Model Transformation Yuxuan Zhu Jiachen Liu Mosharaf Chowdhury Fan Lai 38 0 0 21 Apr 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning Haotian Xu Zhaorui Zhang Sheng Di Benben Liu Khalid Ayedh Alharthi Jiannong Cao FedML 25 5 0 17 Apr 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 53 4 0 27 Mar 2024