FedAT: A High-Performance and Communication-Efficient Federated Learning
System with Asynchronous Tiers

FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers

12 October 2020

Ali Anwar

Huzefa Rangwala

Papers citing "FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers"

16 / 16 papers shown

Title
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 78 0 0 23 Nov 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments Mohak Chadha Alexander Jensen Jianfeng Gu Osama Abboud Michael Gerndt 31 0 0 22 Apr 2024
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang L. Liu Youwei Ding Wanyi Lu 32 0 0 23 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K. R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 29 3 0 07 Aug 2023
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection Mahdi Soltani Khashayar Khajavi M. J. Siavoshani A. Jahangir 18 7 0 05 Mar 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization Nang Hung Nguyen Duc Long Nguyen Trong Bang Nguyen T. Nguyen H. Pham Truong Thao Nguyen Phi Le Nguyen FedML 26 8 0 21 Feb 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 32 44 0 16 Jan 2023
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network Qingze Fang Zhiwei Zhai Shuai Yu Qiong Wu Xiaowen Gong Xu Chen 31 20 0 02 Dec 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 32 13 0 19 Oct 2022
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 30 1 0 30 Aug 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning Nang Hung Nguyen Phi Le Nguyen D. Nguyen Trung Thanh Nguyen Thuy-Dung Nguyen H. Pham Truong Thao Nguyen FedML 61 24 0 04 Aug 2022
Time-triggered Federated Learning over Wireless Networks Xiaokang Zhou Yansha Deng Huiyun Xia Shaochuan Wu M. Bennis FedML 29 20 0 26 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 23 22 0 07 Apr 2022
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 169 99 0 28 Dec 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 131 157 0 22 Jul 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019