A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Privacy-Preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning
Tekijät: Li, Naicheng; Dogani, Javad; Wang, Rui; Liang, Kaitai; Laoutaris, Nikolaos
Toimittaja: N/A
Konferenssin vakiintunut nimi: International Conference on Distributed Computing Systems
Julkaisuvuosi: 2026
Lehti: International Conference on Distributed Computing Systems
Kokoomateoksen nimi: 2026 IEEE 46th International Conference on Distributed Computing Systems (ICDCS)
Vuosikerta: 46
Aloitussivu: 730
Lopetussivu: 740
ISBN: 979-8-3195-2980-0
eISBN: 979-8-3195-2979-4
ISSN: 1063-6927
DOI: https://doi.org/10.1109/2575-8411.2026.00075
Julkaisun avoimuus kirjaamishetkellä: Ei avoimesti saatavilla
Julkaisukanavan avoimuus : Ei avoin julkaisukanava
Verkko-osoite: https://ieeexplore.ieee.org/document/11619026
Decentralized mix-and-forward designs remove the server, but repeated local mixing can attenuate global information under heterogeneity and exposes peer-to-peer neighborhoods as a privacy attack surface. To preserve FedAvgstyle aggregation semantics (over updates reconstructable by the round deadline) while scaling dissemination, we present FLTorrent, a BitTorrent-based dissemination layer for serverless FL with a short warm-up. Warm-up hardens within-round source unlinkability—a dissemination-layer goal orthogonal to content protections (e.g., DP or secure aggregation)—via (i) pre-round obfuscation, (ii) randomized lags, and (iii) coordination-only non-owner-first scheduling (tracker off the data path), before switching to vanilla BitTorrent swarming. We upper-bound the per-transfer attribution posterior by the fraction of owner chunks in a sender's eligible cover set, and derive a tighter highprobability bound that improves with early non-owner mass. A simple heuristic, GreedyFastestFirst, attains ≈92% of a bandwidth-optimal max-flow upper bound, while warm-up remains a stable ≈12% share of a round across 100–500 peers. Under an observation-only local adversary, FLTorrent drives attribution success close to neighborhood-level random guessing for typical nodes, improves with network size, and remains robust under collusion. In LLM-scale dissemination stress tests over 7–10 Gbps access links, FLTorrent adds only ∼6−10% round-time overhead relative to BitTorrent-only. Overall, FLTorrent shows that within-round unlinkability and BitTorrent-level efficiency can co-exist with predictable, low overheads at scale.
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This paper has received funding from the European Union’s Horizon Europe research and innovation program under grant
agreement No. 101178648.