Publications

Project: FLAG - Federated Learning with In-Network Aggregation db76bdd2-2f49-410e-91bd-a168f838b4d8
Adaptive SDN Autoscaling via Generalizable Multi-Agent Reinforcement Learning with EAGLE source
Authors: Doriana Monaco, Alessio Sacco, Flavio Esposito, Guido Marchetto
2026 IEEE Transactions on Network and Service Management FLAG - Federated Learning with In-Network Aggregation
Intent-Based Kubernetes Configuration via LLMs: Current Trends and Open Challenges source
Authors: Alessio Sacco, Cristian Zilli, Guido Marchetto
2025 2025 IEEE 50th Conference on Local Computer Networks (LCN) FLAG - Federated Learning with In-Network Aggregation
Mutant: Learning Congestion Control from Existing Protocols via Online Reinforcement Learning source
Authors: Lorenzo Pappone, Alessio Sacco, Flavio Esposito
2025 USENIX Symposium on Networked Systems Design and Implementation (NSDI) FLAG - Federated Learning with In-Network Aggregation
Online Reinforcement Learning From Existing Heuristics for TCP Congestion Control source
Authors: Lorenzo Pappone, Alessio Sacco, Flavio Esposito
2026 IEEE Transactions on Networking FLAG - Federated Learning with In-Network Aggregation
Plebiscito: A Decentralized, Bandwidth-Aware Architecture for Distributed Learning Workloads source
Authors: Andrea Pinto, Stefano Galantino, Fulvio Risso, Flavio Esposito
2026 2026 IFIP Networking Conference (IFIP Networking) FLAG - Federated Learning with In-Network Aggregation
Privacy Analysis of Oblivious DNS over HTTPS: a Website Fingerprinting Study source
Authors: Mohammad Amir Salari, Abhinav Kumar, Federico Rinaudi, Reza Tourani, Alessio Sacco, Flavio Esposito
2025 IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) FLAG - Federated Learning with In-Network Aggregation
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© FABRIC 2026 v1.23.0
FABRIC is supported in part by a Mid-Scale RI-1 NSF award under Grant No. 1935966.