March 26 - 27 | 🇬🇧 London & Online

The World's Largest Federated AI Conference

Flower AI Summmit 2025

Thank you all for an amazing event!

Wow. A full venue and over 3.500 unique visits on our streams, you're amazing! ❤️

You can now rewatch the live recording on our YouTube Channel or select individual talks below. See you on the next event! We can't wait ☺️

Flower AI Summit 2024

Day 1 Recordings

Hierarchical FL for Natural Disaster Management, Lorenzo Carnevale
Federated Learning for Medical Image Analysis, Pramit Saha
Federated Learning in Edge Devices: Strengthening Data Privacy and Security, Kirill Smirnov
FedICP: FL via Inductive Conformal Prediction, Gregory Barry
Tackling Data Heterogeneity in FL through Linear Mode Connectivity, Dennis Grinwald
FlowerTune LLM Leaderboard, Yan Gao
Taking Eye2Gene global with Flower, Nikolas Pontikos
TraceFL: Interpretability-Driven Debugging in FL via Neuron Provenance, Waris Gill
Transforming Threats to Assets: Utilizing Backdoor Attack Models in FL, 	Au Ashley Hoi-Ting
Flower Community, William Lindskog-Münzing
TraceFL: Interpretability-Driven Debugging in FL via Neuron Provenance, Jonathan Frankle
Flower Keynote, 	Flower Team
Fireside Chat, Mark Surman and Daniel J. Beutel
Flower Intelligence, Charles Beauville
Flower Framework, 	Javier Fernandez
Federated Foundation Model for Generalisable Disease Detection, Eden Ruffell
Executorch and Federated Learning, Harish Srinivas and Jacob Szwejbka
FlowerLLM Update, 	Nic Lane
User-Owned Foundation Models, Anna Kazlauskas
Panel Talk: The Future of AI, 	Mark Surman, Anna Kazlauskas, Gabriele Mazzini, Daniel J. Beutel

Day 2 Recordings

Federated AI: Data, Models, and AI Agents, Shiqiang Wang
Defending against Data Poisoning Attacks via User Elimination, Nick Galanis
Differentially Private Synthetic Data for Federated Learning, Aishwarya Ramasethu
Sustainable data centres: Environmental impact via collaborative learning of energy optimisation, Ivan Scattergood
A New P2P SMPC Protocol for FL using Flower, Petros Demetrakopoulos and Sofia Tsekeridou
Flower Federated AI: Ready to Deploy, Chong Shen Ng
A Survey of Federated Retrieval Augmented Generation Techniques, Mohammad Manzari
RAG using Flower, Dimitris Stripelis
SynapticCity: Foundation Models Marry FL and Blockchain, Sergio Zaera Mata
Hierarchical Federated Learning for Heterogeneity Environment, Satwat Bashir
Decentralized and Clustered FL for Quality Controls in Bioprocesses, Dani Manjah
Developing Metrics for Privacy Preserving Federated Learning, Curtis Mitchell
Fireside Chat with Thomas Wolf, Thomas Wolf
Federated Learning with IP Protection of Flower Models using NVIDIA FLARE, Holger Roth
Open (FL)ower, Patrick Foley
BloodCounts! Demo, Joseph Taylor and Daniel Kreuter
Temenos: making banks better, Yannis Perrakis
Federated Computing Beyond FL: A Unified Stack for Distributed AI, Tal Einat
FLAME: Federated Learning for Anti-money-laundering Enhancement, Robert Norvill
Thunderbird Assist, Chris Aquino
FedECA: A Federated External Control Arm Method, Honghao Li
Friendly FederatedData Networks for Life Sciences, Chris Woodward
Flower on Google Cloud Platform (GCP), Prashant Kulkarni
Panel: Accelerating the adoption of FedAI, Patrick Foley, Chong Shen Ng, Andrew Soltan, Robert Norvill, Adrish Sannyasi

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

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)

Ashkan Moradi

Federated Learning for Prostate Cancer Detection in Biparametric MRI

Ashkan Moradi

Postdoctoral Researcher · NTNU

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