Bill Lin

Full Professor, ECE, University of California, San Diego

Joined

June 2019

Names

Bill Lin

Emails

****@ece.ucsd.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Full Professor

ECE, University of California, San Diego (ucsd.edu)

1997 – Present

Group Head

VSDM, IMEC (imec.be)

1991 – 1997

PhD student

EECS, University of California, Berkeley (berkeley.edu)

1988 – 1991

Advisors, Relations & Conflicts

Coauthor

Saeed Vahidian

2019 – Present

Expertise

Networking Technology

Present

Machine Learning

Present

Publications

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Mahdi Morafah, Saeed Vahidian, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
- AAAI
- Readers: Everyone
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Matthew Chang, Chen Chen, Bill Lin
- NeurIPS 2024
- Readers: Everyone
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Matthew Chang, Chen Chen, Bill Lin
- NeurIPS 2024 poster
- Readers: Everyone
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin
- Published: 21 Oct 2022, Last Modified: 15 Jan 2026
- FL-NeurIPS 2022 Poster
- Readers: Everyone
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Bill Lin
- Published: 21 Oct 2022, Last Modified: 15 Jan 2026
- FL-NeurIPS 2022 Poster
- Readers: Everyone
Asymptotic Optimality of Self-Representative Low-Rank Approximation and Its Applications
Saeed Vahidian, mohsen Joneidi, Ashkan Esmaeili, Siavash Khodadadeh, Sharare zehtabian, Ladislau Boloni, Nazanin Rahnavard, Bill Lin, Mubarak Shah
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Withdrawn Submission
- Readers: Everyone
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Boloni
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone

Bill Lin

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution

Asymptotic Optimality of Self-Representative Low-Rank Approximation and Its Applications

Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models

Co-Authors