The World's Largest Federated AI Conference
Join the World's Largest Federated AI Conference
The fourth edition of the Flower AI Summit is coming in March 26- 27, 2025! Two days dedicated to the latest advances in
What's on?
- 📢 Keynotes by world-class scientists in Federated AI and related fields.
- 🤖 The Flower Roadmap 2025, including the launch and demo of new decentralized AI technologies.
- 📜 Technical posters and demos by the Flower community.
- 🏭 Industrial and enterprise deployments powered by Flower.
Flower After-Hours Reception
After Day 1 of FS25, enjoy an evening of conversations and connections. Free entry for all FS25 attendees 🍻!
Featured Speakers
Entry is free, but spots are limited!
If you are looking to share your work or simply attend, now is the time to submit your talk or save your seat.
Discover the accepted Talks, Posters & Demos
A showcase of groundbreaking research, real-world applications, and pioneering innovations in Federated AI
Federated Learning in Edge Devices: Strengthening Data Privacy and Security
Kirill Smirnov
Researcher · Fontys University
FedECA: A Federated External Control Arm method
Honghao Li
Research Scientist · Owkin
MQFL-FHE: Multimodal Quantum FL Framework with Fully Homomorphic Encryption
Siddhant Dutta
Student · NYU Abu Dhabi
Transforming Threats to Assets: Utilizing Backdoor Attack Models in FL
Au Ashley Hoi-Ting
PhD Student · University of Warwick
Fairness in Federated Learning
Lynda Ferraguig
Research Scientist · LISTIC
Dynamic Neural Networks meets Federated Learning
Aditya Challapally
Principal Applied Scientist · Microsoft
On the Volatility of Shapley-Based Contribution Metrics in FL
Arno Geimer
Doctoral Researcher · University of Luxembourg
Tackling Data Heterogeneity in FL through Linear Mode Connectivity
Dennis Grinwald
PhD student · Technical University of Berlin
Evaluating Privacy Metrics for Genomic Data Analysis
Curtis Mitchell
Emerging Technology Fellow ·
Gary Howarth
Privacy Engineering Program Manager ·
Decentralized and Clustered FL for Quality Controls in Bioprocesses
Dani Manjah
Postdoctoral Researcher · UCLouvain
Model Compression techniques in FL under Bandwidth Considerations
Vaishnavi Jeurkar
Data Scientist · Evri
Sustainable data centres: Environmental impact via collaborative learning of energy optimisation
Ivan Scattergood
CTO ·
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
Artavazd Maranjyan
PhD student · KAUST
Hierarchical FL for Natural Disaster Management
Lorenzo Carnevale
Assistant Professor · University of Messina
Massimo Villari
Full Professor · University of Messina
Enabling Flower for FL in Web Browsers
Alessio Catalfamo
Research Fellow · University of Messina
Lorenzo Carnevale
Assistant Professor · University of Messina
A New P2P SMPC Protocol for FL using Flower
Petros Demetrakopoulos
Machine Learning Engineer · Netcompany-Intrasoft
Sofia Tsekeridou
Senior Project Manager · Netcompany-Intrasoft
FedICP: FL via Inductive Conformal Prediction
Gregory Barry
PhD Student · AFIT
Chancellor Johnstone
Assistant Professor of Statistics · AFIT
SynapticCity: Foundation Models Marry FL and Blockchain
Sergio Mata
AI Engineer and Project Leader · HI Iberia
Hierarchical Federated Learning for Heterogeneity Environment
Satwat Bashir
PhD Student · London South Bank University
Zero-Trust Adaptive Security Framework for Edge based FL
Paul Shepherd
Researcher · London South Bank University
Machine Learning Compilers and Federated Learning
Pavel Abramov
Software Engineer · ZEDEDA
PUFFLE: Balancing Privacy, Utility, and Fairness in FL
Luca Corbucci
PhD Student · University of Pisa - KDD Lab
Towards a Trustworthy FL Framework for Constrained Devices
Seán Ó Fithcheallaigh
PhD Researcher · Ulster University
Application of FL Techniques for Arrhythmia Classification Using 12-Lead ECG Signals
Merhdad Hassanzadeh
PhD Student · Sapienza University of Rome
Enhancing Privacy and Trust in Decentralized AI Systems
Arpita Sarker
Research Assistant, PhD Candidate · Heilbronn University
System level security for enterpise usage of open source models
Aishwarya Ramasethu
AI engineer · Prediction Guard
A Thorough Assessment of the Non-IID Data Impact in Federated Learning
Daniel Jimenez
Data Science PhD Student · Sapienza University of Rome
Federated Foundation Model for Generalisable Disease Detection
Eden Ruffell
PhD Student · UCL
Uncommon Federated Models for IoT Cyber Attack Detection
Mark Devine
Research Scientist · University of Lincoln
FL meets the Cloud-Edge at Scale: An Optimization Perspective
Lei Jiao
Research Associate Professor · University of Oregon
DNA: Differentially private Neural Augmentation for Decentralized Inference
Rob Romijnders
PhD Student · University of Amsterdam
Defending against Data Poisoning Attacks via User Elimination
Nick Galanis
Security Engineer · Canonical
Controlling Participation in Federated Optimisation
Michael Cummins
PhD Student · Imperial College London
Incentivizing Multi-Tenant Split Learning for Federated Foundation Models
Songyuan Li
Doctoral Researcher in Computer Science · University of Exeter
TraceFL: Interpretability-Driven Debugging in FL via Neuron Provenance
Waris Gill
PhD Student · Virgina Tech
Efficient data processing considering privacy and security
Heba Aljabrine
Research Scientist · King Fahd University of Petroleum and Minerals
Federated Learning for Medical Image Analysis
Pramit Saha
DPhil Student · University of Oxford
PetalGuard: Private FL Framework for LLMs
Ajith Suresh
Senior MPC Researcher · Technology Innovation Institute (TII)
Sri Harsha Gajavalli
ML Engineer · Arizona State University
Attendance Information
- 🚶 ~ 5 minutes walk from King's Cross train station in Central London. 🇬🇧
- 🛬 Plane + 🚗 Car/Bus/Train from London City Airport ~ 45 minutes drive and from LHR ~ 1 hour drive.
- If you plan to attend the event in person, please ensure that you check whether a visa is required for your visit.
Flower After-Hours at Big Chill King's Cross
March 26
📍 Directly in front of King's House, first floor.
