NeurIPS 2023 Workshop Federated Learning Submissions

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Arash Nourian, Han Zhao, Bo Li
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Parameter Averaging Laws for Multitask Language Models
Woojin Chung, Hyowon Cho, James Thorne, Se-Young Yun
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning
Jianwei Li, Sheng Liu, Qi Lei
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
Christopher A. Choquette-Choo, Krishnamurthy Dj Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta
- Published: 28 Oct 2023, Last Modified: 11 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Making Batch Normalization Great in Federated Deep Learning
Jike Zhong, Hong-You Chen, Wei-Lun Chao
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira
- Published: 28 Oct 2023, Last Modified: 15 Dec 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi, Madan Ravi Ganesh, Zhenzhen Li, Lu Peng, Wan-Yi Lin
- Published: 28 Oct 2023, Last Modified: 30 Nov 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
FDAPT: Federated Domain-adaptive Pre-training for Language Models
Lekang Jiang, Filip Svoboda, Nicholas Donald Lane
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation
Marco Bornstein, Amrit Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
An Empirical Evaluation of Federated Contextual Bandit Algorithms
Alekh Agarwal, Hugh McMahan, Zheng Xu
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
TAMUNA: Doubly Accelerated Federated Learning with Local Training, Compression, and Partial Participation
Laurent Condat, Ivan Agarský, Grigory Malinovsky, Peter Richtárik
- Published: 28 Oct 2023, Last Modified: 12 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
MARINA Meets Matrix Stepsizes: Variance Reduced Distributed Non-Convex Optimization
Hanmin Li, Avetik Karagulyan, Peter Richtárik
- Published: 28 Oct 2023, Last Modified: 05 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone