Title
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 31 195 0 17 Jul 2020
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Quoc Tran-Dinh Phuong Ha Nguyen FedML 16 28 0 17 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 31 640 0 16 Jul 2020
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G Shashank Jere Q. Fan Bodong Shang Lianjun Li Lingjia Liu 19 10 0 15 Jul 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q.S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 55 218 0 05 Jul 2020
Optimal Complexity in Decentralized Training Yucheng Lu Christopher De Sa 38 72 0 15 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 53 0 14 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 21 54 0 12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 24 22 0 12 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming Mehrdad Khani Shirkoohi Pouya Hamadanian Arash Nasr-Esfahany Mohammad Alizadeh 28 44 0 11 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 23 58 0 08 Jun 2020
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing T. Ryffel Pierre Tholoniat D. Pointcheval Francis R. Bach FedML 28 94 0 08 Jun 2020
A Distributed Trust Framework for Privacy-Preserving Machine Learning Will Abramson A. Hall Pavlos Papadopoulos Nikolaos Pitropakis William J. Buchanan 14 20 0 03 Jun 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 23 228 0 22 May 2020
Industrial Federated Learning -- Requirements and System Design Thomas Hiessl Daniel Schall J. Kemnitz Stefan Schulte FedML AI4CE 19 24 0 14 May 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 51 182 0 11 May 2020
Pretraining Federated Text Models for Next Word Prediction Joel Stremmel Arjun Singh FedML 20 53 0 11 May 2020
Towards Ubiquitous AI in 6G with Federated Learning Yong Xiao Guangming Shi Marwan Krunz FedML 20 41 0 26 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 28 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 19 91 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 23 146 0 22 Apr 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 38 25 0 15 Apr 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 28 66 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 158 57 0 20 Mar 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach Yi Liu James J. Q. Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 31 442 0 19 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 327 0 19 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 47 174 0 07 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 55 1,393 0 29 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 27 115 0 26 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 27 63 0 25 Feb 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 50 1,210 0 20 Feb 2020
PrivacyFL: A simulator for privacy-preserving and secure federated learning Vaikkunth Mugunthan Anton Peraire-Bueno Lalana Kagal FedML 16 57 0 19 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 49 37 0 18 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 28 3 0 18 Feb 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 72 1,099 0 15 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 25 261 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 27 289 0 11 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 22 47 0 06 Feb 2020
Stratified cross-validation for unbiased and privacy-preserving federated learning R. Bey Romain Goussault M. Benchoufi R. Porcher FedML 24 12 0 22 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 22 295 0 22 Jan 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 27 299 0 17 Jan 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 37 629 0 31 Dec 2019
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 34 102 0 26 Dec 2019
Private Federated Learning with Domain Adaptation Daniel W. Peterson Pallika H. Kanani Virendra J. Marathe FedML 21 81 0 13 Dec 2019
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 24 58 0 03 Dec 2019
Federated Learning with Bayesian Differential Privacy Aleksei Triastcyn Boi Faltings FedML 19 174 0 22 Nov 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 17 132 0 22 Nov 2019
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 27 10 0 08 Nov 2019