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Federated Meta-Learning with Fast Convergence and Efficient Communication

22 February 2018

Papers citing "Federated Meta-Learning with Fast Convergence and Efficient Communication"

50 / 196 papers shown

Title
Privacy-Preserving Aggregation in Federated Learning: A SurveyIEEE Transactions on Big Data (TBD), 2022 Ziyao Liu Jiale Guo Wenzhuo Yang Jiani Fan Kwok-Yan Lam Jun Zhao FedML 242 122 0 31 Mar 2022
Deep Class Incremental Learning from Decentralized DataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 145 12 0 11 Mar 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 307 63 0 02 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 274 9 0 20 Feb 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Wanrong Zhu Jing Jiang Chengqi Zhang FedML 251 61 0 13 Feb 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems Renjie Gu Chaoyue Niu Yikai Yan Fan Wu Shaojie Tang Rongfeng Jia Chengfei Lyu Guihai Chen 154 9 0 24 Jan 2022
Feature-context driven Federated Meta-Learning for Rare Disease Prediction Bingyang Chen Tao Chen Xingjie Zeng Weishan Zhang Qinghua Lu Zhaoxiang Hou Jiehan Zhou A. Helal FedML 105 1 0 29 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2021 Chih-Ting Liu Chien-Yi Wang Shao-Yi Chien S. Lai FedML 255 46 0 23 Dec 2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient ApproximationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021 Xingyu Li Zhe Qu Bo Tang Zhuo Lu FedML 179 36 0 22 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 147 6 0 10 Dec 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated LearningIEEE Access (IEEE Access), 2021 Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 248 57 0 09 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 191 48 0 05 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection Ali Anaissi Basem Suleiman FedML 154 2 0 04 Nov 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 248 94 0 27 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 394 113 0 15 Oct 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 220 6 0 28 Sep 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting Wei-wei Zhu Jiebo Luo Andrew D. White FedML 251 41 0 15 Sep 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning Liwei Che Zewei Long Yuan Liu Yaqing Wang Houping Xiao Fenglong Ma FedML 145 32 0 12 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Yuan Liu Yaqing Wang Houping Xiao Fenglong Ma FedML 256 30 0 09 Sep 2021
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender SystemsInternational Conference on Information and Knowledge Management (CIKM), 2021 Philip J. Feng Pin-Yu Pan Tingting Zhou Hongxiang Chen Chuanjiang Luo LRM 117 28 0 31 Aug 2021
Efficient Federated Meta-Learning over Multi-Access Wireless NetworksIEEE Journal on Selected Areas in Communications (JSAC), 2021 Sheng Yue Ju Ren Jiang Xin Deyu Zhang Yaoxue Zhang W. Zhuang 241 43 0 14 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated LearningINFORMS Journal on Data Science (INFORMS J. Data Sci.), 2021 Xubo Yue Maher Nouiehed Raed Al Kontar FedML 167 43 0 05 Aug 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 416 456 0 14 Jul 2021
Federated Mixture of Experts M. Reisser Christos Louizos E. Gavves Max Welling FedML 149 31 0 14 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 138 9 0 07 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 244 22 0 02 Jul 2021
A Non-parametric View of FedAvg and FedProx: Beyond Stationary PointsJournal of machine learning research (JMLR), 2021 Lili Su Jiaming Xu Pengkun Yang FedML 187 23 0 29 Jun 2021
Benchmarking Differential Privacy and Federated Learning for BERT Models Priya Basu Tiasa Singha Roy Rakshit Naidu Zumrut Muftuoglu Sahib Singh Fatemehsadat Mireshghallah FedML AI4MH 138 59 0 26 Jun 2021
Federated Graph Classification over Non-IID Graphs Han Xie Jing Ma Li Xiong Carl Yang FedML 305 203 0 25 Jun 2021
Compositional federated learning: Applications in distributionally robust averaging and meta learning Feihu Huang Junyi Li FedML 129 16 0 21 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 269 1,046 0 12 Jun 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID DataNeural Information Processing Systems (NeurIPS), 2021 Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 215 413 0 09 Jun 2021
FedBABU: Towards Enhanced Representation for Federated Image ClassificationInternational Conference on Learning Representations (ICLR), 2021 Jaehoon Oh Sangmook Kim Se-Young Yun FedML 297 272 0 04 Jun 2021
FedGL: Federated Graph Learning Framework with Global Self-SupervisionInformation Sciences (Inf. Sci.), 2021 Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 167 85 0 07 May 2021
Personalized Federated Learning by Structured and Unstructured Pruning under Data HeterogeneityInternational Conference on Distributed Computing Systems Workshops (ICDCSW), 2021 Saeed Vahidian Mahdi Morafah Bill Lin 178 76 0 02 May 2021
Cluster-driven Graph Federated Learning over Multiple Domains Debora Caldarola Goran Frehse Fabio Galasso Marco Ciccone Emanuele Rodolà Barbara Caputo FedML 192 100 0 29 Apr 2021
Federated Few-Shot Learning with Adversarial LearningInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2021 Chenyou Fan Jianwei Huang FedML 155 34 0 01 Apr 2021
Demystifying the Effects of Non-Independence in Federated Learning Stefan Arnold Dilara Yesilbas FedML 100 4 0 20 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of DistributionNeural Information Processing Systems (NeurIPS), 2021 Amrith Rajagopal Setlur Oscar Li Virginia Smith 261 16 0 23 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 303 59 0 19 Feb 2021
Exploiting Shared Representations for Personalized Federated LearningInternational Conference on Machine Learning (ICML), 2021 Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML OOD 278 928 0 14 Feb 2021
Federated Reconstruction: Partially Local Federated LearningNeural Information Processing Systems (NeurIPS), 2021 K. Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash FedML 275 161 0 05 Feb 2021
On Data Efficiency of Meta-learningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Maruan Al-Shedivat Liam Li Eric Xing Ameet Talwalkar FedML 146 25 0 30 Jan 2021
Few-Shot Learning with Class ImbalanceIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021 Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 219 49 0 07 Jan 2021
Personalized Adaptive Meta Learning for Cold-start User Preference PredictionAAAI Conference on Artificial Intelligence (AAAI), 2020 Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 92 70 0 22 Dec 2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge LearningACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2020 Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 246 51 0 16 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learningIEEE Access (IEEE Access), 2020 Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 207 33 0 15 Dec 2020
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health MonitoringIEEE Transactions on Mobile Computing (IEEE TMC), 2020 Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 304 346 0 14 Dec 2020
Federated Learning under Importance SamplingIEEE Transactions on Signal Processing (TSP), 2020 Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 188 60 0 14 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li Xue Yang Yiran Chen 194 131 0 08 Dec 2020