Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization

7 August 2023

Papers citing "Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization"

25 / 25 papers shown

Title
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 170 22 0 20 Apr 2025
Private Meeting Summarization Without Performance Loss Seolhwa Lee Anders Søgaard 55 3 0 25 May 2023
VCSUM: A Versatile Chinese Meeting Summarization Dataset Han Wu Mingjie Zhan Haochen Tan Zhaohui Hou Ding Liang Linqi Song 57 15 0 09 May 2023
Knowledge Distillation for Federated Learning: a Practical Guide Alessio Mora Irene Tenison Paolo Bellavista Irina Rish FedML 51 31 0 09 Nov 2022
Mutual Information Alleviates Hallucinations in Abstractive Summarization Liam van der Poel Ryan Cotterell Clara Meister HILM 77 61 0 24 Oct 2022
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning Haodong Zhao Wei Du Fang Li Peixuan Li Gongshen Liu FedML 48 72 0 25 Aug 2022
Federated Split BERT for Heterogeneous Text Classification Zhengyang Li Shijing Si Jianzong Wang Jing Xiao FedML 71 21 0 26 May 2022
LongT5: Efficient Text-To-Text Transformer for Long Sequences Mandy Guo Joshua Ainslie David C. Uthus Santiago Ontanon Jianmo Ni Yun-hsuan Sung Yinfei Yang VLM 70 316 0 15 Dec 2021
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Yusen Zhang Ansong Ni Ziming Mao Chen Henry Wu Chenguang Zhu Budhaditya Deb Ahmed Hassan Awadallah Dragomir R. Radev Rui Zhang RALM 82 91 0 16 Oct 2021
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 135 952 0 08 Oct 2021
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next Yusen Zhang Ansong Ni Tao Yu Rui Zhang Chenguang Zhu Budhaditya Deb Asli Celikyilmaz Ahmed Hassan Awadallah Dragomir R. Radev RALM 125 57 0 10 Sep 2021
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization Ming Zhong Yang Liu Yichong Xu Chenguang Zhu Michael Zeng VLM AI4CE 87 127 0 06 Sep 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 42 68 0 27 Jul 2021
A Survey on Dialogue Summarization: Recent Advances and New Frontiers Xiachong Feng Xiaocheng Feng Bing Qin 78 100 0 07 Jul 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 74 116 0 18 Apr 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization Ming Zhong Da Yin Tao Yu A. Zaidi Mutethia Mutuma ... Ahmed Hassan Awadallah Asli Celikyilmaz Yang Liu Xipeng Qiu Dragomir R. Radev RALM 87 338 0 13 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 252 4,299 0 01 Jan 2021
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization Xiachong Feng Xiaocheng Feng Bing Qin Xinwei Geng 51 65 0 07 Dec 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 70 1,348 0 15 Jul 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 179 4,092 0 10 Apr 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 183 1,452 0 29 Feb 2020
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization Bogdan Gliwa Iwona Mochol M. Biesek A. Wawer 127 638 0 27 Nov 2019
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 432 10,531 0 21 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 856 9,353 0 06 Jun 2015