Archived edition. SNAI 2024 took place on 18–20 October 2024 in Hangzhou, China. Go to the current edition, SNAI 2026 →

Conference Programme

SNAI 2024 · Zhejiang University, Zijingang Campus, Hangzhou · 18–20 October 2024

The final programme of the inaugural SNAI symposium. All times are China Standard Time (UTC+8). Sessions were streamed virtually for remote attendees. The 24 oral presentations were distributed evenly across the three days.

Day 1 — Friday, 18 October 2024

Time Session
08:30 – 09:00Registration & coffee
09:00 – 09:15Opening — Wei Zhang (General Chair)
09:15 – 10:15Keynote: Kenji Nakamura (University of Tokyo) — Why Networks Resist Learning
10:15 – 10:45Coffee break
10:45 – 12:15Track 1 oral session 1 — AI for Network Management and Optimization (3 papers)
12:15 – 13:30Lunch
13:30 – 15:00Track 2 oral session 1 — Edge and In-Network Inference (2 papers)
15:00 – 15:30Coffee break
15:30 – 17:00Track 3 oral session 1 — Distributed and Federated Learning over Networks (2 papers)
17:00 – 18:00Track 4 lightning — Machine Learning for Network Security (1 paper)
18:30 – 21:00Welcome reception (Zijingang Campus)

Day 2 — Saturday, 19 October 2024

Time Session
08:30 – 09:00Coffee
09:00 – 10:00Keynote: Sarah Whitfield (University of Melbourne) — Congestion Control After the Learning Turn
10:00 – 10:30Coffee break
10:30 – 12:00Track 1 oral session 2 — AI for Network Management and Optimization (3 papers)
12:00 – 13:30Lunch
13:30 – 15:00Track 2 oral session 2 — Edge and In-Network Inference (2 papers)
15:00 – 15:30Coffee break
15:30 – 17:00Track 3 oral session 2 — Distributed and Federated Learning over Networks (2 papers)
17:00 – 18:00Track 4 lightning — Machine Learning for Network Security (1 paper)
17:30 – 19:30Poster session
19:30 – 22:30Conference banquet (West Lake)

Day 3 — Sunday, 20 October 2024

Time Session
08:30 – 09:00Coffee
09:00 – 09:45Track 1 oral session 3 — AI for Network Management and Optimization (1 paper)
09:45 – 11:15Track 2 oral session 3 — Edge and In-Network Inference (2 papers)
11:15 – 11:30Coffee break
11:30 – 13:00Track 3 oral session 3 — Distributed and Federated Learning over Networks (2 papers)
13:00 – 14:00Lunch
14:00 – 16:00Track 4 oral session — Machine Learning for Network Security (3 papers)
16:00 – 16:30Coffee break
16:30 — 17:00Awards & closing remarks
09:00 – 17:00Co-located workshops (parallel)

All oral sessions ran in a single track in the main lecture hall. Poster presentations and the lightning-format Track 4 sessions were held in the adjoining foyer. The three co-located workshops (EdgeAI, FedLearn, SecML) ran in parallel rooms on Day 3.

Session chairs

  • Day 1 morning: Wei Zhang (Tsinghua University)
  • Day 1 afternoon: Elena Vasquez (UC San Diego)
  • Day 2 morning: Marta Ribó (Universitat Politècnica de Catalunya)
  • Day 2 afternoon: Hiroshi Tanaka (Kyoto University)
  • Day 3 morning: Li Chen (Zhejiang University)
  • Day 3 afternoon: Daniel Okafor (ETH Zürich)