pith:BOPFA7EB
Distributed Seeking for Fixed Points of Biased Stochastic Operators: A Communication-Efficient Approach
A surrogate function proves convergence for distributed fixed-point seeking under biased stochastic operators with communication compression.
arxiv:2605.07633 v2 · 2026-05-08 · math.OC
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Claims
By introducing a surrogate function for general non-contractive and contractive operators, we establish convergence guarantees of the distributed fixed point iteration, achieving among the first theoretical unifications with distributed non-convex optimization algorithms.
The relaxed growth bias and variance conditions on the stochastic operators, which generalize traditional unbiased and bounded additive variance assumptions.
A communication-efficient distributed algorithm for fixed-point seeking of biased stochastic operators with convergence guarantees under relaxed conditions and unification to non-convex optimization.
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Receipt and verification
| First computed | 2026-05-22T01:04:05.342809Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b9e507c81fae4420c58e88cf878bd90e3d94c52004ab05ea37c2f98770719c7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOPFA7EB7LSEEDCY5CGPQ6F5SD \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0b9e507c81fae4420c58e88cf878bd90e3d94c52004ab05ea37c2f98770719c7
Canonical record JSON
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