Title
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions Yi Liu Lizhen Qu Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato FedML AI4CE 162 308 0 04 Jun 2020
Wireless Communications for Collaborative Federated LearningIEEE Communications Magazine (IEEE Commun. Mag.), 2020 Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 222 172 0 03 Jun 2020
A Distributed Trust Framework for Privacy-Preserving Machine LearningTrust and Privacy in Digital Business (TPDB), 2020 Will Abramson A. Hall Pavlos Papadopoulos Nikolaos Pitropakis William J. Buchanan 111 22 0 03 Jun 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen Jun Zhou Longfei Zheng Huiwen Wu Lingjuan Lyu Hongzhi Zhang Bingzhe Wu Ziqi Liu L. xilinx Wang Xiaolin Zheng FedML 359 114 0 25 May 2020
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data G. Lee S. Shin OOD 117 2 0 24 May 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang Mingyi Hong S. Dhople W. Yin Yang Liu FedML 289 259 0 22 May 2020
Consensus Driven Learning K. Crandall Dustin J. Webb FedML 40 0 0 20 May 2020
Scalable Privacy-Preserving Distributed Learning D. Froelicher J. Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 194 73 0 19 May 2020
Industrial Federated Learning -- Requirements and System Design Thomas Hiessl Daniel Schall J. Kemnitz Stefan Schulte FedML AI4CE 105 26 0 14 May 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 332 199 0 11 May 2020
Pretraining Federated Text Models for Next Word Prediction Joel Stremmel Arjun Singh FedML 191 56 0 11 May 2020
Towards Ubiquitous AI in 6G with Federated Learning Yong Xiao Guangming Shi Marwan Krunz FedML 113 46 0 26 Apr 2020
SplitFed: When Federated Learning Meets Split LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 348 740 0 25 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 214 15 0 24 Apr 2020
6G White paper: Research challenges for Trust, Security and Privacy M. Ylianttila R. Kantola A. Gurtov L. Mucchi I. Oppermann ... E. Panayirci H. Haas T. Kumar Basak Ozan Ozparlak J. Roning 139 100 0 24 Apr 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 207 159 0 22 Apr 2020
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints Qing Han Shusen Yang Xuebin Ren Cong Zhao Jingqi Zhang Xinyu Yang 141 10 0 22 Apr 2020
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search Chaoyang He M. Annavaram A. Avestimehr OOD FedML 190 93 0 18 Apr 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless NetworksIEEE Transactions on Wireless Communications (TWC), 2020 Richeng Jin Xiaofan He H. Dai 204 27 0 15 Apr 2020
Secure Federated Learning in 5G Mobile NetworksGlobal Communications Conference (GLOBECOM), 2020 Martin Isaksson K. Norrman 122 24 0 14 Apr 2020
Towards Federated Learning With Byzantine-Robust Client WeightingApplied Sciences (Appl. Sci.), 2020 Amit Portnoy Yoav Tirosh Danny Hendler FedML 91 12 0 10 Apr 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 193 79 0 08 Apr 2020
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile NetworksIACR Cryptology ePrint Archive (IACR ePrint), 2019 K. Mandal G. Gong FedML 179 79 0 05 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 223 205 0 01 Apr 2020
Inverting Gradients -- How easy is it to break privacy in federated learning?Neural Information Processing Systems (NeurIPS), 2020 Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 627 1,462 0 31 Mar 2020
Differentially Private Federated Learning for Resource-Constrained Internet of Things Rui Hu Yuanxiong Guo E. Ratazzi Yanmin Gong FedML 104 18 0 28 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 220 30 0 26 Mar 2020
Corella: A Private Multi Server Learning Approach based on Correlated Queries H. Ehteram M. Maddah-ali Mahtab Mirmohseni 136 0 0 26 Mar 2020
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension SelectionInternational Conference on Database Systems for Advanced Applications (DASFAA), 2020 Ruixuan Liu Yang Cao Masatoshi Yoshikawa Hong Chen FedML 174 130 0 24 Mar 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 273 70 0 21 Mar 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 387 63 0 20 Mar 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning ApproachIEEE Internet of Things Journal (IEEE IoT J.), 2020 Yi Liu James Jianqiao Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 153 510 0 19 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 352 368 0 19 Mar 2020
Federated Visual Classification with Real-World Data DistributionEuropean Conference on Computer Vision (ECCV), 2020 T. Hsu Qi Matthew Brown FedML 306 232 0 18 Mar 2020
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework Huafei Zhu Zengxiang Li Merivyn Cheah Rick Siow Mong Goh FedML 203 11 0 17 Mar 2020
Policy-Based Federated Learning Kleomenis Katevas Eugene Bagdasaryan J. Waterman Mohamad Mounir Safadieh Eleanor Birrell Hamed Haddadi D. Estrin 129 0 0 14 Mar 2020
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing Feng Yin Zhidi Lin Yue Xu Qinglei Kong Deshi Li Sergios Theodoridis Shuguang Cui Cui FedML 202 4 0 08 Mar 2020
Ternary Compression for Communication-Efficient Federated LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 173 193 0 07 Mar 2020
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning Naifu Zhang M. Tao 207 24 0 04 Mar 2020
Adaptive Federated OptimizationInternational Conference on Learning Representations (ICLR), 2020 Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 571 1,726 0 29 Feb 2020
Federated Over-Air Subspace Tracking from Incomplete and Corrupted DataIEEE Transactions on Signal Processing (TSP), 2020 Praneeth Narayanamurthy Namrata Vaswani Aditya Ramamoorthy 448 11 0 28 Feb 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 118 67 0 26 Feb 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning Yuan Liu Shuai Sun Zhengpeng Ai Shuangfeng Zhang Zelei Liu Han Yu FedML 177 126 0 26 Feb 2020
Device Heterogeneity in Federated Learning: A Superquantile ApproachMachine-mediated learning (ML), 2020 Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 179 29 0 25 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical GuaranteesIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 247 65 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 170 74 0 25 Feb 2020
Byzantine-resilient Decentralized Stochastic Gradient Descent Shangwei Guo Tianwei Zhang Hanzhou Yu Xiaofei Xie Lei Ma Tao Xiang Yang Liu 175 62 0 20 Feb 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain AdaptationInternational Conference on Machine Learning (ICML), 2020 Jian Liang Dapeng Hu Jiashi Feng 496 1,485 0 20 Feb 2020
PrivacyFL: A simulator for privacy-preserving and secure federated learningInternational Conference on Information and Knowledge Management (CIKM), 2020 Vaikkunth Mugunthan Anton Peraire-Bueno Lalana Kagal FedML 117 66 0 19 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client AvailabilityINFORMS journal on computing (INFORMS J. Comput.), 2020 Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 235 40 0 18 Feb 2020