NeurIPS 2023 Workshop Federated Learning Submissions

LASER: Linear Compression in Wireless Distributed Optimization
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar
- Published: 28 Oct 2023, Last Modified: 15 Dec 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
Private and Personalized Histogram Estimation in a Federated Setting
Amrith Setlur, Vitaly Feldman, Kunal Talwar
- Published: 28 Oct 2023, Last Modified: 22 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models
Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Absolute Variation Distance: an Inversion Attack Evaluation Metric for Federated Learning
Georgios Papadopoulos, yash satsangi, Shaltiel Eloul, Marco Pistoia
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
MOFL/D: A Federated Multi-objective Learning Framework with Decomposition
Maria Hartmann, Grégoire Danoy, Mohammed Alswaitti, Pascal Bouvry
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Backdoor Threats from Compromised Foundation Models to Federated Learning
Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Heterogeneous LoRA for Federated Fine-tuning of On-device Foundation Models
Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Matt Barnes, Gauri Joshi
- Published: 28 Oct 2023, Last Modified: 10 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR
Sheikh Shams Azam, Martin Pelikan, Vitaly Feldman, Kunal Talwar, Jan Silovsky, Tatiana Likhomanenko
- Published: 28 Oct 2023, Last Modified: 06 Dec 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
FedLDA: Personalized Federated Learning Through Collaborative Linear Discriminant Analysis
Connor Mclaughlin, Lili Su
- Published: 28 Oct 2023, Last Modified: 15 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Towards Building the FederatedGPT: Federated Instruction Tuning
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
User Inference Attacks on Large Language Models
Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu
- Published: 28 Oct 2023, Last Modified: 11 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
Justin Singh Kang, Kannan Ramchandran, Ramtin Pedarsani
- Published: 28 Oct 2023, Last Modified: 05 Dec 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Qingfeng Liu, Kee-Bong Song, MOSTAFA EL-Khamy, Salman Avestimehr
- Published: 28 Oct 2023, Last Modified: 09 Dec 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
Exploring User-level Gradient Inversion with a Diffusion Prior
Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Learning Optimizers for Local SGD
Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
- Published: 28 Oct 2023, Last Modified: 22 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
Liam Collins, Shanshan Wu, Sewoong Oh, Khe Chai Sim
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
One-shot Empirical Privacy Estimation for Federated Learning
Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh McMahan, Vinith Suriyakumar
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning
Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ganesh
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization
Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Consensus Optimization at Representation: Improving Personalized Federated Learning via Data-Centric Regularization
Heng Zhu, Arya Mazumdar
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit Roy-Chowdhury, Ananda Suresh, Samet Oymak
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Beyond Parameter Averaging in Model Aggregation
Pol G. Recasens, Jordi Torres, Josep Lluis Berral, Søren Hauberg, Pablo Moreno-Muñoz
- Published: 28 Oct 2023, Last Modified: 16 Dec 2023
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning
Gihun Lee, Minchan Jeong, SangMook Kim, Jaehoon Oh, Se-Young Yun
- Published: 28 Oct 2023, Last Modified: 21 Nov 2023
- FL@FM-NeurIPS’23 Oral
- Readers: Everyone