Call for Papers
| Submission deadline | |
| Acceptance notification | December 18, 2024 |
| Camera ready | January 13, 2025 |
| Workshop | April, 2025 |
| Submission website | Microsoft CMT |
Call for Papers
The workshop aims to provide a platform for exchanging ideas on the future of federated learning surrounding audio applications. The main topics of interest include, but are not limited to:
- Applications of FL in the Audio Domain
- Automatic Speech Recognition
- Audio, Sound and Music Processing
- Personalized Experiences
- Multi-Device, Multi-Modal, and Self-supervised FL
- Enhancing Healthcare
- FL and LLMs for Advanced Audio Understanding
- Prompt Tuning in FL Settings
- FL Frameworks for Foundation Models
- Exploiting LLM Embeddings for Audio Applications
- Efficient FL for Audio Tasks
- Addressing User and Device Heterogeneity
- Resource-Constrained FL
- Adaptive Aggregation Strategies
- Energy Efficiency
- Robustness, Bias, and Interpretability in FL for Audio
- Security and Privacy for Audio Tasks
- Bias and Interpretability
- Handling Cross-Domain Data
- Federated Unlearning
Submission tracks
FLute 2025 will offer two primary submission tracks, both of which will be subject to a peer-review process. Works accepted in these tracks will be selected based on their technical quality and overall contribution to the event. The key distinctions between the tracks are outlined below:(A) Full Paper Track
Submissions to the Full Paper Track should present well-developed, cohesive research with significant technical depth and clear, impactful relevance to federated learning for audio understanding. Accepted papers in this track will be published in the IEEE Xplore Digital Library.(B) Extended Abstract Track
The Extended Abstract Track is designed for submissions that foster insight and engagement at the event, whether through presenting innovative ideas, sparking meaningful discussions, sharing valuable resources, or facilitating new collaborations. This track is also particularly open to “non-traditional research artifacts,” such as papers introducing novel datasets, reporting insightful negative results, presenting preliminary findings that require prompt dissemination, conducting reproducibility studies, or offering opinion pieces and critiques.
Extended abstracts can be up to 2 pages, including references. While these abstracts will not be published in the IEEE Xplore Digital Library, accepted authors will have the option (but are not required) to submit their work to arxiv.org and have it linked on the workshop’s website.
Submission details
The paper submission and reviewing process will be conducted through the ICASSP-2025 paper management system (Microsoft CMT). Full papers should abide by the ICASSP-2025 paper style, format, and length.In recognition of outstanding contributions, FLute 2025 will present a Best Paper Award to the top submission. This award will honor the work that demonstrates exceptional technical merit, innovation, and impact within the field of federated learning for audio understanding.
Organizers
Lorena Qendro (Nokia Bell Labs / University of Cambridge)
Soumyajit Chatterjee (Nokia Bell Labs)
Aaqib Saeed (Eindhoven University of Technology)
Akhil Mathur (Meta)
Paolo Bellavista (University of Bologna)
Björn W. Schuller (Technische Universität München (TUM) / Imperial College London/audEERING)