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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"

46 / 196 papers shown

Title
FedSiam: Towards Adaptive Federated Semi-Supervised Learning Zewei Long Liwei Che Yaqing Wang Muchao Ye Junyu Luo Jinze Wu Houping Xiao Fenglong Ma FedML 217 19 0 06 Dec 2020
Federated Marginal Personalization for ASR RescoringIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Zhe Liu Fuchun Peng 148 1 0 01 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 163 31 0 01 Dec 2020
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-LearningIEEE International Conference on Mobile Adhoc and Sensor Systems (MASS), 2020 Sen Lin Li Yang Zhezhi He Deliang Fan Junshan Zhang FedML AI4CE 178 6 0 25 Nov 2020
Federated Composite OptimizationInternational Conference on Machine Learning (ICML), 2020 Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 232 62 0 17 Nov 2020
Dynamic backdoor attacks against federated learning Anbu Huang AAML FedML 93 22 0 15 Nov 2020
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning D. Sarkar Sumit Rai Ankur Narang FedML 79 3 0 14 Nov 2020
FedE: Embedding Knowledge Graphs in Federated Setting Yin Hua Wen Zhang Zonggang Yuan Yantao Jia Huajun Chen FedML 177 93 0 24 Oct 2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for RecommendationFindings (Findings), 2020 Guangneng Hu Qiang Yang 111 7 0 16 Oct 2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning Mert Kayaalp Stefan Vlaski Ali H. Sayed 104 31 0 06 Oct 2020
Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and PossibilitiesInternational Conference on Machine Learning and Applications (ICMLA), 2020 Javad Mohammadi J. Thornburg 145 5 0 21 Sep 2020
Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things R. Rahmani Ramin Firouzi GNN 97 5 0 18 Sep 2020
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning Boyi Liu Bingjie Yan Yize Zhou Jun Wang Yuhang Zhang FedML 175 3 0 08 Sep 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 138 98 0 17 Aug 2020
Distantly Supervised Relation Extraction in Federated SettingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Dianbo Sui Yubo Chen Kang Liu Jun Zhao FedML 153 11 0 12 Aug 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets Ang Li Jingwei Sun Binghui Wang Lin Duan Sicheng Li Yiran Chen Xue Yang FedML 170 142 0 07 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 587 88 0 22 Jul 2020
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Manqing Dong Feng Yuan Lina Yao Xiwei Xu Liming Zhu CLL 121 182 0 07 Jul 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 322 1,208 0 16 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance PredictionInternational Middleware Conference (Middleware), 2020 Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 191 56 0 12 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 349 1,056 0 07 Jun 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 154 73 0 21 May 2020
Federated Multi-view Matrix Factorization for Personalized Recommendations Adrian Flanagan Were Oyomno A. Grigorievskiy K. E. Tan Suleiman A. Khan Muhammad Ammad-ud-din FedML 189 79 0 08 Apr 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated LearningIEEE Intelligent Systems (IEEE Intell. Syst.), 2020 Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 253 70 0 21 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 332 365 0 19 Mar 2020
Distributed and Democratized Learning: Philosophy and Research ChallengesIEEE Computational Intelligence Magazine (IEEE CIM), 2020 Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 148 14 0 18 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 326 626 0 25 Feb 2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art Ahmed Imteaj Urmish Thakker Maroun Touma Jian Li M. Amini 154 73 0 25 Feb 2020
Dynamic Federated LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020 Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 198 26 0 20 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 490 638 0 19 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 179 3 0 18 Feb 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model SelectionThe Web Conference (WWW), 2020 Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li 273 51 0 22 Jan 2020
Learning to Recommend via Meta Parameter Partition Bo Pan Yang Wang Daxiang Dong Hao Tian OffRL CLL 106 7 0 04 Dec 2019
Meta Matrix Factorization for Federated Rating PredictionsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019 Yujie Lin Sudipta Singha Roy Zhumin Chen Zhaochun Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 390 138 0 22 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 219 1,019 0 08 Oct 2019
Federated Learning: Challenges, Methods, and Future DirectionsIEEE Signal Processing Magazine (IEEE SPM), 2019 Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 955 5,259 0 21 Aug 2019
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs Xin Yao Tianchi Huang Chenglei Wu Ruixiao Zhang Lifeng Sun FedML 137 41 0 16 Aug 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 402 1,226 0 23 Jul 2019
FedHealth: A Federated Transfer Learning Framework for Wearable HealthcareIEEE Intelligent Systems (IEEE Intell. Syst.), 2019 Yiqiang Chen Yongfeng Zhang Chaohui Yu Wen Gao Xin Qin FedML 314 820 0 22 Jul 2019
Federated ForestIEEE Transactions on Big Data (IEEE Trans. Big Data), 2019 Yang Liu Yingting Liu Zhijie Liu Junbo Zhang Chuishi Meng Yu Zheng FedML 149 159 0 24 May 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 203 25 0 28 Mar 2019
Federated Machine Learning: Concept and ApplicationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019 Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 175 2,626 0 13 Feb 2019
Learning Private Neural Language Modeling with Attentive Aggregation Shaoxiong Ji Shirui Pan Guodong Long Xue Li Jing Jiang Zi Huang FedML MoMe 220 161 0 17 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 439 1,594 0 03 Dec 2018
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning Pramod Kaushik Mudrakarta Mark Sandler A. Zhmoginov Andrew G. Howard 171 72 0 25 Oct 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data I. Korshunova Jonas Degrave Ferenc Huszár Y. Gal Arthur Gretton J. Dambre BDL 148 35 0 21 Feb 2018