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Learning Private Neural Language Modeling with Attentive Aggregation

17 December 2018

Zi Huang

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

50 / 56 papers shown

Title
Distribution-Controlled Client Selection to Improve Federated Learning Strategies Christoph Düsing Philipp Cimiano FedML 88 1 0 25 Sep 2025
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework Shangshang Yang Jialin Han Xiaoshan Yu Ziwen Wang Hao Jiang Haiping Ma X. Zhang Geyong Min FedML 81 1 0 02 Aug 2025
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment Yuze Liu Tiehua Zhang Zhishu Shen Libing Wu Shiping Chen Jiong Jin 76 1 0 01 Aug 2025
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case studyFuture generations computer systems (FGCS), 2025 Diogo Landau Ingeborg de Pater Mihaela Mitici Nishant Saurabh 134 1 0 31 May 2025
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated LearningIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025 Hui Ma Kai Yang Yang Jiao OOD 336 3 0 25 May 2025
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models Zishuai Zhang Hainan Zhang JiaYing Zheng Ziwei Wang Jin Dong Yongxin Tong Zhiming Zheng FedML 340 0 0 21 May 2025
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Tianlong Li Changze Lv Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 233 10 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 154 7 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 307 5 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 179 1 0 03 Feb 2024
Transformers with Attentive Federated Aggregation for Time Series Stock ForecastingInternational Conference on Information Networking (ICOIN), 2023 Chu Myaet Thwal Ye Lin Tun Kitae Kim Seong-Bae Park Choong Seon Hong AI4TS AIFin 124 5 0 22 Jan 2024
On-Device Recommender Systems: A Comprehensive Survey Hongzhi Yin Liang Qu Tong Chen Wei Yuan Ruiqi Zheng Jing Long Xin Xia Yuhui Shi Chengqi Zhang 242 55 0 21 Jan 2024
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective AwarenessACM Multimedia (MM), 2024 Rongyu Zhang Zefan Cai Huanrui Yang Zidong Liu Denis A. Gudovskiy ... Kurt Keutzer Baobao Chang Yuan Du Li Du Shanghang Zhang VLM 271 2 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 216 75 0 27 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 170 11 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 142 6 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 302 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 265 31 0 27 Nov 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive DropoutIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023 Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 252 8 0 14 Jul 2023
Federated Learning with Classifier Shift for Class Imbalance Yunheng Shen Haoxiang Wang Hairong Lv FedML 202 5 0 11 Apr 2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical AggregationIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Rongyu Zhang Yatian Wang Guiliang Liu Wenyi Zhang Yuan Du Fang Wang 198 14 0 27 Mar 2023
Federated Recommendation with Additive PersonalizationInternational Conference on Learning Representations (ICLR), 2023 Zhiwei Li Guodong Long Tianyi Zhou FedML 222 33 0 22 Jan 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning MethodsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Zhuo Zhang Yuanhang Yang Yong Dai Zhuang Li Zenglin Xu FedML 344 110 0 20 Dec 2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive AnalyticsIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2022 Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew Lan Christopher G. Brinton AI4Ed 205 14 0 05 Dec 2022
Federated Learning and Meta Learning: Approaches, Applications, and DirectionsIEEE Communications Surveys and Tutorials (COMST), 2022 Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 309 59 0 24 Oct 2022
Group Personalized Federated LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Zhe Liu Yue Hui Fuchun Peng FedML 233 3 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 144 3 0 30 Aug 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network Jingcai Guo Song Guo Jie Zhang Ziming Liu FedML 208 15 0 21 Aug 2022
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated LearningInternational Conference on Information and Knowledge Management (CIKM), 2022 Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew Lan Christopher G. Brinton FedML AI4Ed 169 29 0 02 Aug 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 Tiehua Zhang Yuze Liu Zhishu Shen Ruiqian Xu Xin Chen Xiaowei Huang Xi Zheng FedML AI4TS 198 18 0 07 Jun 2022
Pretrained Models for Multilingual Federated LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Orion Weller Marc Marone Vladimir Braverman Dawn J Lawrie Benjamin Van Durme VLM FedML AI4CE 127 46 0 06 Jun 2022
Training Mixed-Domain Translation Models via Federated LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Peyman Passban Tanya Roosta Rahul Gupta Ankit R. Chadha Clement Chung FedML AI4CE 199 19 0 03 May 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 307 63 0 02 Mar 2022
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoTIEEE Internet of Things Journal (IEEE IoT J.), 2022 Jingjing Zheng Kai Li N. Mhaisen Wei Ni Eduardo Tovar Mohsen Guizani 202 60 0 15 Feb 2022
Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks A. Estiri Muthucumaru Maheswaran 123 9 0 14 Nov 2021
Dual Attention-Based Federated Learning for Wireless Traffic PredictionIEEE Conference on Computer Communications (INFOCOM), 2021 Chuanting Zhang Shuping Dang B. Shihada Mohamed-Slim Alouini 207 106 0 11 Oct 2021
Gradual Federated Learning with Simulated AnnealingIEEE Transactions on Signal Processing (IEEE TSP), 2021 L. Nguyen Junhan Kim B. Shim FedML 120 15 0 11 Oct 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 220 6 0 28 Sep 2021
Speaker-Conditioned Hierarchical Modeling for Automated Speech ScoringInternational Conference on Information and Knowledge Management (CIKM), 2021 Yaman Kumar Singla Avykat Gupta Shaurya Bagga Changyou Chen Balaji Krishnamurthy R. Shah 144 15 0 30 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q.S. Quek FedML 144 15 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 142 82 0 27 Jul 2021
Prototype Guided Federated Learning of Visual Feature Representations Umberto Michieli Mete Ozay FedML 254 43 0 19 May 2021
Secure and Efficient Federated Learning Through Layering and Sharding BlockchainIEEE Transactions on Network Science and Engineering (TNSE), 2021 Shuo Yuan Bin Cao Yaohua Sun Zhiguo Wan M. Peng 492 37 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 193 139 0 18 Apr 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT SystemsIEEE Transactions on Mobile Computing (IEEE TMC), 2021 Chenhao Xu Jiaqi Ge Yong Li Yao Deng Longxiang Gao Mengshi Zhang Yong Xiang Xi Zheng FedML 175 15 0 12 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X LearningInternational Journal of Machine Learning and Cybernetics (IJMLC), 2021 Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 478 107 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 164 128 0 02 Feb 2021
Federated Marginal Personalization for ASR RescoringIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Zhe Liu Fuchun Peng 156 1 0 01 Dec 2020
From Federated Learning to Federated Neural Architecture Search: A SurveyComplex & Intelligent Systems (CIS), 2020 Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 185 172 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 179 3 0 08 Sep 2020