ICML 2023 Workshop FL Submissions

A Joint Training-Calibration Framework for Test-Time Personalization with Label Distribution Shift in Federated Learning
Jian Xu, Shao-Lun Huang
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Learning-augmented private algorithms for multiple quantile release
Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Leveraging Side Information for Communication-Efficient Federated Learning
Berivan Isik, Francesco Pase, Deniz Gunduz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
On Differentially Private Federated Linear Contextual Bandits
Xingyu Zhou, Sayak Ray Chowdhury
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Distributed Mean Estimation for Multi-Message Shuffled Privacy
Antonious M. Girgis, Suhas Diggavi
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Federated Learning with Regularized Client Participation
Grigory Malinovsky, Samuel Horváth, Konstantin Pavlovich Burlachenko, Peter Richtárik
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression
Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Pavlovich Burlachenko, Peter Richtárik
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Momentum Provably Improves Error Feedback!
Ilyas Fatkhullin, Alexander Tyurin, Peter Richtárik
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
Jiaqi Shao, Shanshan Han, Chaoyang He, Bing Luo
- Published: 19 Jun 2023, Last Modified: 03 Aug 2023
- FL-ICML 2023
- Readers: Everyone
SCAFF-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu, Sai Praneeth Karimireddy, Yi Ma, Michael Jordan
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression
Avetik Karagulyan, Peter Richtárik
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Differentially Private Heavy Hitters using Federated Analytics
Karan Chadha, Junye Chen, John Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Federated Conformal Predictors for Distributed Uncertainty Quantification
Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael Jordan, Ramesh Raskar
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
A Convergent Federated Clustering Algorithm without Initial Condition
Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
- Published: 19 Jun 2023, Last Modified: 23 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Sketch-and-Project Meets Newton Method: \\ Global $\mathcal O \left( k^{-2} \right)$ Convergence with Low-Rank Updates
Slavomir Hanzely
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin, Peter Richtárik
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes
Konstantin Mishchenko, Slavomir Hanzely, Peter Richtárik
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Strategic Data Sharing between Competitors
Nikita Tsoy, Nikola Konstantinov
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
Baihe Huang, Sai Praneeth Karimireddy, Michael Jordan
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Clustering-Guided Federated Learning of Representations
Runxuan Miao, Erdem Koyuncu
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Concept-aware clustering for decentralized deep learning under temporal shift
Edvin Listo Zec, Emilie Klefbom, Marcus Toftås, Martin Johan Willbo, Olof Mogren
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Randomized Quantization is All You Need for Differential Privacy in Federated Learning
Yeojoon Youn, Zihao Hu, Juba Ziani, Jacob Abernethy
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
Privacy Auditing with One (1) Training Run
Thomas Steinke, Milad Nasr, Matthew Jagielski
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone
On the Performance of Gradient Tracking with Local Updates
Edward Duc Hien Nguyen, Sulaiman A Alghunaim, Kun Yuan, Cesar A Uribe
- Published: 19 Jun 2023, Last Modified: 21 Jul 2023
- FL-ICML 2023
- Readers: Everyone