Learning Private Neural Language Modeling with Attentive Aggregation

17 December 2018

Zi Huang

Papers citing "Learning Private Neural Language Modeling with Attentive Aggregation"

50 / 52 papers shown

Title
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 29 2 0 16 Jun 2024
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation Honglei Zhang Haoxuan Li Jundong Chen Sen Cui Kunda Yan Abudukelimu Wuerkaixi Xin Zhou Zhiqi Shen Yidong Li FedML 20 4 0 06 Jun 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 33 2 0 23 May 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 22 1 0 03 Feb 2024
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting Chu Myaet Thwal Ye Lin Tun Kitae Kim Seong-Bae Park C. Hong AI4TS AIFin 20 5 0 22 Jan 2024
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness Rongyu Zhang Zefan Cai Huanrui Yang Zidong Liu Denis A. Gudovskiy ... Kurt Keutzer Baobao Chang Yuan Du Li Du Shanghang Zhang VLM 27 1 0 15 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 19 30 0 27 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 26 7 0 07 Dec 2023
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning Chung Park Taekyoon Choi Taesan Kim Mincheol Cho Junui Hong Minsung Choi Jaegul Choo FedML 23 4 0 06 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 12 2 0 05 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 25 19 0 27 Nov 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 11 7 0 14 Jul 2023
Federated Learning with Classifier Shift for Class Imbalance Yunheng Shen Haoxiang Wang Hairong Lv FedML 6 5 0 11 Apr 2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation Rongyu Zhang Xiaowei Chi Guiliang Liu Wenyi Zhang Yuan Du Fang Wang 33 12 0 27 Mar 2023
Federated Recommendation with Additive Personalization Zhiwei Li Guodong Long Tianyi Zhou FedML 15 15 0 22 Jan 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Lizhen Qu Zenglin Xu FedML 16 64 0 20 Dec 2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew S. Lan Christopher G. Brinton AI4Ed 17 10 0 05 Dec 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 46 32 0 24 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 16 2 0 04 Oct 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 13 1 0 30 Aug 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network Jingcai Guo Song Guo Jie M. Zhang Ziming Liu FedML 12 15 0 21 Aug 2022
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew S. Lan Christopher G. Brinton FedML AI4Ed 14 21 0 02 Aug 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning Tiehua Zhang Yuze Liu Zhishu Shen Ruiqian Xu Xin Chen Xiaowei Huang Xi Zheng FedML AI4TS 22 9 0 07 Jun 2022
Pretrained Models for Multilingual Federated Learning Orion Weller Marc Marone Vladimir Braverman Dawn J Lawrie Benjamin Van Durme VLM FedML AI4CE 31 41 0 06 Jun 2022
Training Mixed-Domain Translation Models via Federated Learning Peyman Passban Tanya Roosta Rahul Gupta Ankit R. Chadha Clement Chung FedML AI4CE 13 18 0 03 May 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 10 52 0 02 Mar 2022
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT Jingjing Zheng Kai Li N. Mhaisen Wei Ni Eduardo Tovar Mohsen Guizani 11 41 0 15 Feb 2022
Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks A. Estiri Muthucumaru Maheswaran 6 9 0 14 Nov 2021
Dual Attention-Based Federated Learning for Wireless Traffic Prediction Chuanting Zhang Shuping Dang B. Shihada Mohamed-Slim Alouini 14 83 0 11 Oct 2021
Gradual Federated Learning with Simulated Annealing L. Nguyen Junhan Kim B. Shim FedML 19 10 0 11 Oct 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 21 6 0 28 Sep 2021
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring Yaman Kumar Singla Avykat Gupta Shaurya Bagga Changyou Chen Balaji Krishnamurthy R. Shah 18 11 0 30 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q. S. Quek FedML 34 11 0 12 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
Prototype Guided Federated Learning of Visual Feature Representations Umberto Michieli Mete Ozay FedML 11 36 0 19 May 2021
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain Shuo Yuan Bin Cao Yaohua Sun Zhiguo Wan M. Peng 12 20 0 27 Apr 2021
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks Bill Yuchen Lin Chaoyang He ZiHang Zeng Hulin Wang Yufen Huang Christophe Dupuy Rahul Gupta Mahdi Soltanolkotabi Xiang Ren Salman Avestimehr FedML 19 108 0 18 Apr 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems Chenhao Xu Jiaqi Ge Yong Li Yao Deng Longxiang Gao Mengshi Zhang Yong Xiang Xi Zheng FedML 25 14 0 12 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 21 76 0 25 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li 12 102 0 02 Feb 2021
Federated Marginal Personalization for ASR Rescoring Zhe Liu Fuchun Peng 19 1 0 01 Dec 2020
From Federated Learning to Federated Neural Architecture Search: A Survey Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 6 146 0 12 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 6 3 0 08 Sep 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 12 588 0 07 Jul 2020
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification Guile Wu S. Gong OOD 8 27 0 07 Jun 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
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 8 350 0 16 Jan 2020
Private Federated Learning with Domain Adaptation Daniel W. Peterson Pallika H. Kanani Virendra J. Marathe FedML 13 81 0 13 Dec 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 19 69 0 18 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017