LEAF: A Benchmark for Federated Settings

3 December 2018

S. Caldas

Sai Meher Karthik Duddu

Peter Wu

Papers citing "LEAF: A Benchmark for Federated Settings"

50 / 286 papers shown

Title
UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao FedML 26 3 0 29 Jul 2023
Differentially Private Heavy Hitter Detection using Federated Analytics Karan N. Chadha Junye Chen John C. Duchi Vitaly Feldman H. Hashemi O. Javidbakht Audra McMillan Kunal Talwar FedML 21 7 0 21 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 33 7 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 25 20 0 18 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise Antesh Upadhyay Abolfazl Hashemi 39 9 0 14 Jul 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 21 7 0 14 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 37 12 0 11 Jul 2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers Xuechen Zhang Mingchen Li Xiangyu Chang Jiasi Chen A. Roy-Chowdhury A. Suresh Samet Oymak FedML 31 7 0 10 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 25 43 0 17 Jun 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 32 48 0 15 Jun 2023
Get More for Less in Decentralized Learning Systems Akash Dhasade Anne-Marie Kermarrec Rafael Pires Rishi Sharma Milos Vujasinovic Jeffrey Wigger 26 7 0 07 Jun 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices Kilian Pfeiffer R. Khalili J. Henkel FedML 42 5 0 26 May 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization Florian E. Dorner Nikola Konstantinov Georgi Pashaliev Martin Vechev FedML 22 5 0 25 May 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 24 14 0 24 May 2023
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Cheng Chen Yihao Huang Xian Wei Xiang Lian Yang Liu Mingsong Chen FedML 19 8 0 18 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps Jed Mills Jia Hu Geyong Min FedML 30 7 0 16 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 17 2 0 15 May 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
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning Wenjin Wang Yunqing Hu Qianglong Chen Yin Zhang CLL 32 13 0 11 Apr 2023
HPN: Personalized Federated Hyperparameter Optimization Anda Cheng Zhen Wang Yaliang Li Jianwei Cheng 27 1 0 11 Apr 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song Runsheng Xu Andreas Festag Jiaqi Ma Alois C. Knoll FedML 28 25 0 04 Apr 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 31 3 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 41 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 117 26 0 23 Mar 2023
Model Extraction Attacks on Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Li Yang Zhezhi He Deliang Fan C. Chakrabarti FedML 62 5 0 13 Mar 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning Xiaopeng Jiang Cristian Borcea FedML 28 15 0 10 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang X. Chu Ryan Yide Ran Sunwoo Lee S. Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 15 10 0 03 Mar 2023
Stochastic Clustered Federated Learning Dun Zeng Xiangjing Hu Shiyu Liu Yue Yu Qifan Wang Zenglin Xu FedML 20 13 0 02 Mar 2023
Differentially Private Distributed Convex Optimization Minseok Ryu Kibaek Kim FedML 17 1 0 28 Feb 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 29 1 0 27 Feb 2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups Ioannis Arapakis P. Papadopoulos Kleomenis Katevas Diego Perino 24 7 0 26 Feb 2023
Better Generative Replay for Continual Federated Learning Daiqing Qi Handong Zhao Sheng Li FedML 19 46 0 25 Feb 2023
FLINT: A Platform for Federated Learning Integration Ewen N. Wang Ajaykumar Kannan Yuefeng Liang Boyi Chen Mosharaf Chowdhury 40 24 0 24 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Charlie Hou Hongyuan Zhan Akshat Shrivastava Sida I. Wang S. Livshits Giulia Fanti Daniel Lazar FedML 32 15 0 17 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 38 25 0 03 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 34 10 0 28 Jan 2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning Peng Zhang Yingbo Zhou Ming Hu Xin Fu Xian Wei Mingsong Chen FedML 24 1 0 28 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 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
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 35 44 0 16 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 24 11 0 04 Jan 2023
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing Waqwoya Abebe Ali Jannesari 17 0 0 16 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan Yanfeng Wang Jiangchao Yao Lingjuan Lyu Ya-Qin Zhang Qinghua Tian FedML 21 20 0 14 Dec 2022
Security Analysis of SplitFed Learning M. A. Khan Virat Shejwalkar Amir Houmansadr Fatima M. Anwar FedML 16 11 0 04 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 42 7 0 03 Dec 2022