FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

24 May 2021

Fan Lai

Yinwei Dai

Sanjay Sri Vallabh Singapuram

Papers citing "FedScale: Benchmarking Model and System Performance of Federated Learning at Scale"

36 / 36 papers shown

Title
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 36 0 0 21 Apr 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 43 0 0 13 Mar 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning Raghav Singhal Kaustubh Ponkshe Rohit Vartak Lav R. Varshney Praneeth Vepakomma FedML 74 0 0 24 Feb 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules? Minghong Fang Seyedsina Nabavirazavi Zhuqing Liu Wei Sun S. Iyengar Haibo Yang AAML OOD 76 5 0 29 Jan 2025
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 18 0 0 17 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 36 8 0 02 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 23 0 0 29 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 48 5 0 17 Sep 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 29 2 0 16 Jun 2024
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security Youyang Qu Ming Liu Tianqing Zhu Longxiang Gao Shui Yu Wanlei Zhou MU FedML 54 2 0 14 Jun 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 26 0 0 24 May 2024
Practical Insights into Knowledge Distillation for Pre-Trained Models Norah Alballa Marco Canini 30 2 0 22 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 13 13 0 10 Feb 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 27 8 0 22 Jan 2024
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 27 0 0 17 Dec 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 21 0 23 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 29 244 0 20 Jul 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 24 48 0 15 Jun 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 24 12 0 15 May 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 109 26 0 23 Mar 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 16 1 0 27 Feb 2023
FLINT: A Platform for Federated Learning Integration Ewen N. Wang Ajaykumar Kannan Yuefeng Liang Boyi Chen Mosharaf Chowdhury 17 24 0 24 Feb 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Lizhen Qu Zenglin Xu FedML 16 64 0 20 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 11 7 0 03 Dec 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 21 115 0 03 Nov 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 36 140 0 10 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 21 6 0 26 Sep 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Bo-wen Li D. Song FedML 19 8 0 21 Jul 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 24 7 0 30 May 2022
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 20 51 0 01 Nov 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 21 18 0 06 Oct 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 129 530 0 20 Apr 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 178 193 0 26 Feb 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 175 126 0 16 Feb 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 162 563 0 27 Jul 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 124 156 0 22 Jul 2020