Flower AI Summit 2025

The World's Largest Federated AI Conference

🗓️ March 26 - 27 | 🇬🇧 London & Online
On-Site FULL !

✉️ Need help? hello@flower.ai

⚠️ Our on-site capacity is full! Thank you all for the huge interest. You can still join us online, register now so you don't miss out!

Flower AI Summit 2025 Hero Image

Summit Timetables

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

Privacy-Enhancing Technology (PETs)Federated LearningDecentralized AIOn-device/Small LLMs
Decentralized AI

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

Flower After-Hours Reception

After Day 1 of FS25, enjoy an evening of conversations and connections. Free entry for all FS25 attendees 🍻!

Flower Afterhours Event

Featured Speakers

PresidentMozilla
Co-Founder & CEORhino Federated Computing
Chief AI ScientistDatabricks
CEO of Open Data LabsVana
OpenFL Lead Architect and Engineering ManagerIntel
Gen AI Security EngineerGoogle Cloud
Research ScientistIBM
Principal FL ScientistNvidia
Co-Founder & CEOFlower Labs
Co-Founder & CSOFlower Labs
Senior Data ScientistBanking Circle
Senior Solutions ArchitectAmazon Web Services (AWS)
Research scientistOwkin
Oncology Registrar & Clinical AI ResearcherUniversity of Oxford
Associate Professor at UCLFounder of Eye2Gene
ML and Privacy EngineerU.S. Census Bureau
Privacy Engineering Program ManagerNIST
Haematology ConsultantBloodCounts
Engineering Director at ThunderbirdMozilla
Research ScientistFlower Labs
Solutions EngineerFlower Labs
Head of InnovationTemenos
Architect and lead author EU AI ActMIT Research Affiliate & Fellow
Senior Product ManagerApheris
Product Marketing LeadApheris

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

Shannon How

FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine

Shannon How

PhD Student · University of Southampton

Mohammad ManzariMinh Nguyen

A survey of Federated Retrieval Augmented Generation Techniques

Mohammad Manzari

R&D Manager · Deloitte Consulting

Minh Nguyen

Senior Engineer · Deloitte Consulting

Kirill Smirnov

Federated Learning in Edge Devices: Strengthening Data Privacy and Security

Kirill Smirnov

Researcher · Fontys University

Siddhant Dutta

MQFL-FHE: Multimodal Quantum FL Framework with Fully Homomorphic Encryption

Siddhant Dutta

Student · NYU Abu Dhabi

Au Ashley Hoi-Ting

Transforming Threats to Assets: Utilizing Backdoor Attack Models in FL

Au Ashley Hoi-Ting

PhD Student · University of Warwick

Lynda Ferraguig

Fairness in Federated Learning

Lynda Ferraguig

Research Scientist · LISTIC

Aditya Challapally

Dynamic Neural Networks meets Federated Learning

Aditya Challapally

Principal Applied Scientist · Microsoft

Arno Geimer

On the Volatility of Shapley-Based Contribution Metrics in FL

Arno Geimer

Doctoral Researcher · University of Luxembourg

Dennis Grinwald

Tackling Data Heterogeneity in FL through Linear Mode Connectivity

Dennis Grinwald

PhD Student · Technical University of Berlin

Dani Manjah

Decentralized and Clustered FL for Quality Controls in Bioprocesses

Dani Manjah

Postdoctoral Researcher · UCLouvain

Ivan Scattergood

Sustainable data centres: Environmental impact via collaborative learning of energy optimisation

Artavazd Maranjyan

Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity

Artavazd Maranjyan

PhD student · KAUST

Lorenzo CarnevaleMassimo Villari

Hierarchical FL for Natural Disaster Management

Lorenzo Carnevale

Assistant Professor · University of Messina

Massimo Villari

Full Professor · University of Messina

Alessio CatalfamoLorenzo Carnevale

Enabling Flower for FL in Web Browsers

Alessio Catalfamo

Research Fellow · University of Messina

Lorenzo Carnevale

Assistant Professor · University of Messina

Petros DemetrakopoulosSofia Tsekeridou

A New P2P SMPC Protocol for FL using Flower

Petros Demetrakopoulos

Machine Learning Engineer · Netcompany-Intrasoft

Sofia Tsekeridou

Senior Project Manager · Netcompany-Intrasoft

Gregory BarryChancellor Johnstone

FedICP: FL via Inductive Conformal Prediction

Gregory Barry

PhD Student · AFIT

Chancellor Johnstone

Assistant Professor of Statistics · AFIT

Sergio Mata

SynapticCity: Foundation Models Marry FL and Blockchain

Sergio Mata

AI Engineer and Project Leader · HI Iberia

Satwat Bashir

Hierarchical Federated Learning for Heterogeneity Environment

Satwat Bashir

PhD Student · London South Bank University

Pavel Abramov

Machine Learning Compilers and Federated Learning

Pavel Abramov

Software Engineer · ZEDEDA

Luca Corbucci

PUFFLE: Balancing Privacy, Utility, and Fairness in FL

Luca Corbucci

PhD Student · University of Pisa - KDD Lab

Seán Ó Fithcheallaigh

Towards a Trustworthy FL Framework for Constrained Devices

Seán Ó Fithcheallaigh

PhD Researcher · Ulster University

Arpita Sarker

Enhancing Privacy and Trust in Decentralized AI Systems

Arpita Sarker

Research Assistant, PhD Candidate · Heilbronn University

Aishwarya Ramasethu

Differentially Private Synthetic Data for Federated Learning

Aishwarya Ramasethu

AI engineer · Prediction Guard

Daniel Jimenez

A Thorough Assessment of the Non-IID Data Impact in Federated Learning

Daniel Jimenez

Data Science PhD Student · Sapienza University of Rome

Eden Ruffell

Federated Foundation Model for Generalisable Disease Detection

Eden Ruffell

PhD Student · UCL

Mark Devine

Uncommon Federated Models for IoT Cyber Attack Detection

Mark Devine

Research Scientist · University of Lincoln

Lei Jiao

FL meets the Cloud-Edge at Scale: An Optimization Perspective

Lei Jiao

Research Associate Professor · University of Oregon

Rob Romijnders

DNA: Differentially private Neural Augmentation for Decentralized Inference

Rob Romijnders

PhD Student · University of Amsterdam

Nick Galanis

Defending against Data Poisoning Attacks via User Elimination

Nick Galanis

Security Engineer · UCL

Michael Cummins

Controlling Participation in Federated Optimisation

Michael Cummins

PhD Student · Imperial College London

Songyuan Li

Incentivizing Multi-Tenant Split Learning for Federated Foundation Models

Songyuan Li

Doctoral Researcher in Computer Science · University of Exeter

Waris Gill

TraceFL: Interpretability-Driven Debugging in FL via Neuron Provenance

Waris Gill

PhD Student · Virgina Tech

Heba Aljabrine

Efficient data processing considering privacy and security

Heba Aljabrine

Research Scientist · King Fahd University of Petroleum and Minerals

Pramit Saha

Federated Learning for Medical Image Analysis

Pramit Saha

DPhil Student · University of Oxford

Ajith SureshSri Harsha Gajavalli

PetalGuard: Private FL Framework for LLMs

Ajith Suresh

Senior MPC Researcher · Technology Innovation Institute (TII)

Sri Harsha Gajavalli

Senior Privacy Engineer · Technology Innovation Institute (TII)

Attendance Information

📍 King's House, London

  • 🚶 ~ 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.

Flower After-Hour Reception