Updates
🎓 Successfully defended my PhD!
Officially a Doctor of Philosophy in Computer Science from EPFL.
🎉 Our paper "Communication-Efficient Secure Aggregation in Decentralized Learning" (CESAR) has been accepted to SRDS 2026.
The first decentralized protocol to achieve both privacy and communication efficiency through secure aggregation.
🎉 Our position paper "Collaborative Agentic AI Needs Interoperability Across Ecosystems" has been accepted to the ICML 2026 Position Paper Track.
Arguing for minimal interoperability standards before the agentic AI ecosystem fragments.
🎉 Our paper "Orbit: Efficient Agentic Inference using Priority Scheduling" has been accepted to EuroMLSys 2026.
A trajectory-aware scheduler that deprioritizes agentic tasks predicted to fail.
🚀 Joining the Microsoft Security Response Center (MSRC) as an AI Security Researcher.
Moving to Cambridge, UK to work on AI Security Research and Vulnerability Response, with a focus on Agentic Security.
🎉 Our paper "SONAR: Benchmarking Topology and Collaboration in Decentralized Learning" has been accepted to MLSys 2026.
A modular benchmarking framework showing that network topology is a first-class systems variable in decentralized learning.
🎉 Our paper "Optimizing Agent Planning for Security and Autonomy" has been accepted as a Poster at ICLR 2026.
Deterministic defenses against prompt injection attacks, without sacrificing agent autonomy.
🎉 Our paper "HarMoEny: Efficient Inference of MoE Models" has been accepted to IPDPS 2026.
Balancing GPU load for Mixture-of-Experts inference, up to 70% higher throughput.
🎉 Our paper "SONAR Web: A Platform-Agnostic Framework for Real-Time Decentralized Learning Across Heterogeneous Edge Clients" has been accepted to FL-EdgeAI 2025.
Cross-platform decentralized learning between browsers, servers, tablets, and smartphones.
👋 Wrapped up my Research Internship at Microsoft Research Cambridge, UK.
Heading back to EPFL to finish my PhD.
✈️ Wrapped up my Research Visit at the MIT Media Lab.
Back to EPFL!
🎉 Incoming Research Intern at Microsoft Research Cambridge, UK.
Will be spending my summer 2025 working with the Azure AI Research Group at MSR!
🎉 Our paper "Low-Cost Privacy-Aware Decentralized Learning" has been accepted for publication in the Proceedings on Privacy Enhancing Technologies 2025.
Accepted in Issue 2025.3. See you in Washington D.C.!
🤖 We hosted the first MIT Decentralized AI Hackathon. 🤖
Collaboration 🤝🏽 vs. ⚔️ competition!
Read the full post →🎉 Our paper "Boosting Asynchronous Decentralized Learning with Model Fragmentation" has been accepted for publication in the ACM Web Conference 2025.
Accepted for Oral Presentation. See you in Sydney!
🎉 Our paper "Fair Decentralized Learning" has been accepted for publication in the IEEE SaTML 2025.
Fairness through clustering!
✈️ Starting my Research Visit at the MIT Media Lab.
Next 6 months will be in Cambridge, MA.
🎉 Our paper "Revisiting Ensembling in One-Shot Federated Learning" has been accepted for publication at NeurIPS 2024.
Accepted as a poster. See you in Vancouver!
🎉 Our paper "Noiseless Privacy-Preserving Decentralized Learning" has been accepted for publication in the Proceedings on Privacy Enhancing Technologies 2025.
Accepted in Issue 2025.1. See you in Washington D.C.!
🎉 I received the Doc.Mobility Grant 2024 at EPFL.
The grant will support my research visit to MIT this year.
✈️ Starting my Ph.D. at EPFL.
The Journey from IIT Mandi to EPFL.
Read the full post →