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1906.04329
Cited By
Federated Learning for Emoji Prediction in a Mobile Keyboard
11 June 2019
Swaroop Indra Ramaswamy
Rajiv Mathews
Kanishka Rao
Franccoise Beaufays
FedML
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Papers citing
"Federated Learning for Emoji Prediction in a Mobile Keyboard"
47 / 47 papers shown
Title
Contrastive Federated Learning with Tabular Data Silos
Achmad Ginanjar
Xue Li
Wen Hua
Jiaming Pei
FedML
79
2
0
17 Feb 2025
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
R. Gayathri
Atul Sajjanhar
Md Palash Uddin
Yong Xiang
FedML
23
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
63
6
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
35
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
48
2
0
16 Apr 2024
Analysis of Privacy Leakage in Federated Large Language Models
Minh Nhat Vu
Truc D. T. Nguyen
Tre' R. Jeter
My T. Thai
45
6
0
02 Mar 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
57
1
0
19 Feb 2024
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer
Yongheng Deng
Ziqing Qiao
Ju Ren
Yang Liu
Yaoxue Zhang
25
11
0
10 Dec 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations
T. Krauß
Alexandra Dmitrienko
AAML
27
4
0
06 Jun 2023
Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios
Karim Gamal
A. Gaber
Hossam Amer
FedML
40
6
0
30 Mar 2023
FLINT: A Platform for Federated Learning Integration
Ewen N. Wang
Ajaykumar Kannan
Yuefeng Liang
Boyi Chen
Mosharaf Chowdhury
40
24
0
24 Feb 2023
A Federated Approach for Hate Speech Detection
Jay Gala
Deep Gandhi
Jash Mehta
Zeerak Talat
21
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
38
32
0
04 Jan 2023
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
Ameet Deshpande
Md Arafat Sultan
Anthony Ferritto
Ashwin Kalyan
Karthik Narasimhan
Avirup Sil
MoE
38
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
27
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
36
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
15
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
41
42
0
06 Jun 2022
Impact of Sampling on Locally Differentially Private Data Collection
Sayan Biswas
Graham Cormode
Carsten Maple
FedML
27
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
31
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
21
10
0
06 May 2022
Federated Class-Incremental Learning
Jiahua Dong
Lixu Wang
Zhen Fang
Gan Sun
Shichao Xu
Tianlin Li
Qi Zhu
CLL
FedML
33
168
0
22 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos
I. Koutsopoulos
Michalis K. Titsias
FedML
31
9
0
20 Feb 2022
LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunović
Dimitar I. Dimitrov
Nikola Jovanović
Martin Vechev
24
57
0
17 Feb 2022
FL_PyTorch: optimization research simulator for federated learning
Konstantin Burlachenko
Samuel Horváth
Peter Richtárik
FedML
48
18
0
07 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
28
6
0
03 Feb 2022
The Skellam Mechanism for Differentially Private Federated Learning
Naman Agarwal
Peter Kairouz
Ziyu Liu
FedML
22
122
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
33
16
0
07 Oct 2021
Aggregation Delayed Federated Learning
Ye Xue
Diego Klabjan
Yuan Luo
FedML
OOD
28
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
27
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
25
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
40
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
187
412
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
35
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
29
25
0
24 Mar 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz
Ziyu Liu
Thomas Steinke
FedML
44
232
0
12 Feb 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
83
51
0
11 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning
David Enthoven
Zaid Al-Ars
FedML
57
14
0
01 Jan 2021
FedADC: Accelerated Federated Learning with Drift Control
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
43
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
24
163
0
08 Dec 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks
Ali Abedi
Shehroz S. Khan
FedML
39
53
0
06 Nov 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
Sheng Shen
Tianqing Zhu
Di Wu
Wei Wang
Wanlei Zhou
FedML
OOD
23
77
0
19 Oct 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
David Enthoven
Zaid Al-Ars
FedML
60
50
0
01 Apr 2020
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
45
565
0
25 Feb 2020
Overcoming Forgetting in Federated Learning on Non-IID Data
N. Shoham
Tomer Avidor
Aviv Keren
Nadav Tal-Israel
Daniel Benditkis
Liron Mor Yosef
Itai Zeitak
CLL
FedML
28
217
0
17 Oct 2019
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