Federated Learning for Emoji Prediction in a Mobile Keyboard

11 June 2019

Swaroop Indra Ramaswamy

Papers citing "Federated Learning for Emoji Prediction in a Mobile Keyboard"

40 / 40 papers shown

Title
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 71 2 0 17 Feb 2025
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 20 0 0 19 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 52 5 0 17 Sep 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 24 0 0 03 May 2024
Confidential Federated Computations Hubert Eichner Daniel Ramage Kallista A. Bonawitz Dzmitry Huba Tiziano Santoro ... Albert Cheu Katharine Daly Adria Gascon Marco Gruteser Brendan McMahan 40 2 0 16 Apr 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer S. Pokutta AAML 49 1 0 19 Feb 2024
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 19 4 0 06 Jun 2023
FLINT: A Platform for Federated Learning Integration Ewen N. Wang Ajaykumar Kannan Yuefeng Liang Boyi Chen Mosharaf Chowdhury 33 24 0 24 Feb 2023
A Federated Approach for Hate Speech Detection Jay Gala Deep Gandhi Jash Mehta Zeerak Talat 13 4 0 18 Feb 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 24 32 0 04 Jan 2023
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers A. Deshpande Md Arafat Sultan Anthony Ferritto A. Kalyan Karthik Narasimhan Avirup Sil MoE 33 1 0 29 Nov 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 28 2 0 04 Oct 2022
Tensor Decomposition based Personalized Federated Learning Qing Wang Jing Jin Xiaofeng Liu Huixuan Zong Yunfeng Shao Yinchuan Li FedML 21 3 0 27 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 28 13 0 21 Aug 2022
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices Mingbin Xu Congzheng Song Ye Tian Neha Agrawal Filip Granqvist ... Shiyi Han Yaqiao Deng Leo Liu Anmol Walia Alex Jin FedML 13 22 0 18 Jul 2022
Pretrained Models for Multilingual Federated Learning Orion Weller Marc Marone Vladimir Braverman Dawn J Lawrie Benjamin Van Durme VLM FedML AI4CE 33 42 0 06 Jun 2022
Impact of Sampling on Locally Differentially Private Data Collection Sayan Biswas Graham Cormode Carsten Maple FedML 22 0 0 02 Jun 2022
Robust Quantity-Aware Aggregation for Federated Learning Jingwei Yi Fangzhao Wu Huishuai Zhang Bin Zhu Tao Qi Guangzhong Sun Xing Xie FedML 21 2 0 22 May 2022
Federated Learning with Noisy User Feedback Rahul Sharma Anil Ramakrishna Ansel MacLaughlin Anna Rumshisky Jimit Majmudar Clement Chung Salman Avestimehr Rahul Gupta FedML 18 10 0 06 May 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Xiao Wang Qi Zhu CLL FedML 24 168 0 22 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 25 9 0 20 Feb 2022
Comparative assessment of federated and centralized machine learning Ibrahim Abdul Majeed Sagar Kaushik Aniruddha Bardhan Venkata Siva Kumar Tadi Hwang-Ki Min K. Kumaraguru Rajasekhara Reddy Duvvuru Muni FedML 17 6 0 03 Feb 2022
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 11 121 0 11 Oct 2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout Dhruv Guliani Lillian Zhou Changwan Ryu Tien-Ju Yang Harry Zhang Yong Xiao F. Beaufays Giovanni Motta FedML 22 16 0 07 Oct 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 18 5 0 17 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 25 37 0 05 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 20 67 0 27 Jul 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 24 74 0 23 Jul 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 184 411 0 14 Jul 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 24 4 0 27 Jun 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications Sangsu Lee Xi Zheng Jie Hua H. Vikalo Christine Julien FedML 18 25 0 24 Mar 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 25 232 0 12 Feb 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 75 51 0 11 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven Zaid Al-Ars FedML 55 14 0 01 Jan 2021
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 33 37 0 16 Dec 2020
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun Ang Li Binghui Wang Huanrui Yang Hai Li Yiran Chen FedML 19 162 0 08 Dec 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks Ali Abedi Shehroz S. Khan FedML 31 53 0 06 Nov 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 57 50 0 01 Apr 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 36 565 0 25 Feb 2020