APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

8 February 2022

Kibaek Kim

Papers citing "APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning"

20 / 20 papers shown

Title
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System Ravi K. Madduri Zilinghan Li Tarak Nandi Kibaek Kim Minseok Ryu Alex Rodriguez 40 1 0 29 Sep 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review Nikolas Koutsoubis Asim Waqas Yasin Yilmaz R. Ramachandran M. Schabath Ghulam Rasool 36 1 0 24 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 66 7 0 17 Sep 2024
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI Kaveen Hiniduma Suren Byna J. L. Bez Ravi Madduri 58 5 0 27 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 39 8 0 18 Jun 2024
FLEX: FLEXible Federated Learning Framework Francisco Herrera Daniel Jiménez-López Alberto Argente-Garrido Nuria Rodríguez Barroso Cristina Zuheros Ignacio Aguilera-Martos Beatriz Bello Mario García-Márquez M. V. Luzón 48 2 0 09 Apr 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 43 1 0 03 Apr 2024
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers Shourya Bose Yu Zhang Kibaek Kim 31 3 0 01 Apr 2024
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2 Zilinghan Li Shilan He Pranshu Chaturvedi Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 20 3 0 19 Feb 2024
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications Grant Wilkins Sheng Di Jon C. Calhoun Zilinghan Li Kibaek Kim Robert Underwood Richard Mortier Franck Cappello FedML 45 3 0 20 Dec 2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx Trung-Hieu Hoang Jordan D. Fuhrman Ravi K. Madduri Miao Li Pranshu Chaturvedi ... Kibaek Kim Minseok Ryu Ryan Chard Eliu A. Huerta Maryellen L. Giger 41 5 0 14 Dec 2023
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation Shourya Bose Yu Zhang Kibaek Kim 29 3 0 21 Nov 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 42 9 0 26 Sep 2023
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients Shourya Bose Kibaek Kim 38 4 0 22 Sep 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 43 6 0 17 Aug 2023
A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks Weijie Shao Yuyang Gao Fu Song Sen Chen Lingling Fan JingZhu He FedML 36 0 0 09 Aug 2023
Differentially Private Distributed Convex Optimization Minseok Ryu Kibaek Kim FedML 33 1 0 28 Feb 2023
Communication-Efficient ADMM-based Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 40 22 0 28 Oct 2021
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 39 15 0 11 Jun 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 566 0 27 Jul 2020