NeurIPS 2022 Workshop Federated Learning Submissions

FedTH : Tree-based Hierarchical Image Classification in Federated Learning
Jaeheon Kim, Bong Jun Choi
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation
M. Taha Toghani, Cesar A Uribe
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Early Detection of Sexual Predators with Federated Learning
Khaoula Chehbouni, Gilles Caporossi, Reihaneh Rabbany, Martine De Cock, Golnoosh Farnadi
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Self-Supervised Vertical Federated Learning
Timothy Castiglia, Shiqiang Wang, Stacy Patterson
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
On the Vulnerability of Backdoor Defenses for Federated Learning
Pei Fang, Jinghui Chen
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Conditional Moment Alignment for Improved Generalization in Federated Learning
Jayanth Reddy Regatti, Songtao Lu, Abhishek Gupta, Ness Shroff
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Oral
- Readers: Everyone
Towards Provably Personalized Federated Learning via Threshold-Clustering of Similar Clients
Mariel Werner, Lie He, Sai Praneeth Karimireddy, Michael Jordan, Martin Jaggi
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Mechanisms that Incentivize Data Sharing in Federated Learning
Sai Praneeth Karimireddy, Wenshuo Guo, Michael Jordan
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Oral
- Readers: Everyone
Building Large Machine Learning Models from Small Distributed Models: A Layer Matching Approach
Xinwei Zhang, Bingqing Song, Mehrdad Honarkhah, Jie Ding, Mingyi Hong
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
VOTING-BASED APPROACHES FOR DIFFERENTIALLY PRIVATE FEDERATED LEARNING
Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
DASH: Decentralized CASH for Federated Learning
Md Ibrahim Ibne Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Accelerating Adaptive Federated Optimization with Local Gossip Communications
Yujia Wang, Pei Fang, Jinghui Chen
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Federated Learning with Online Adaptive Heterogeneous Local Models
Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Oral
- Readers: Everyone
Federated Progressive Sparsification (Purge-Merge-Tune)+
Dimitris Stripelis, Umang Gupta, Greg Ver Steeg, Jose Luis Ambite
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
A Multi-Token Coordinate Descent Method for Vertical Federated Learning
Pedro Valdeira, Yuejie Chi, Claudia Soares, Joao Xavier
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
ColRel: Collaborative Relaying for Federated Learning over Intermittently Connected Networks
Rajarshi Saha, Michal Yemini, Emre Ozfatura, Deniz Gunduz, Andrea Goldsmith
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study
Ziwei Li, Hong-You Chen, Han Wei Shen, Wei-Lun Chao
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Differentially Private Federated Quantiles with the Distributed Discrete Gaussian Mechanism
Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaid Harchaoui
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Chen Dun, Mirian Del Carmen Hipolito Garcia, Christopher Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Junyi Li, Heng Huang
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
LightVeriFL: Lightweight and Verifiable Secure Federated Learning
Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Oral
- Readers: Everyone
Privacy-Preserving Data Filtering in Federated Learning Using Influence Approximation
Ljubomir Rokvic, Panayiotis Danassis, Boi Faltings
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Trusted Aggregation (TAG): Model Filtering Backdoor Defense In Federated Learning
Joseph Lavond, Minhao Cheng, Yao Li
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Cross-device Federated Architecture Search
Stefanos Laskaridis, Javier Fernandez-Marques, Łukasz Dudziak
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone