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Straggler-Resilient...
Straggler-Resilient Secure Aggregation for Federated Learning
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- Schlegel, Reent, 1994 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,Simula UiB
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- Kumar, Siddhartha (författare)
- Simula UiB
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- Rosnes, Eirik (författare)
- Simula UiB
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visa fler...
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- Graell I Amat, Alexandre, 1976 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,Simula UiB
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visa färre...
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(creator_code:org_t)
- 2022
- 2022
- Engelska.
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Ingår i: European Signal Processing Conference. - 2219-5491. ; 2022-August, s. 712-716
- Relaterad länk:
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https://research.cha...
Abstract
Ämnesord
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- We present CodedSecAgg, a straggler-resilient secure aggregation scheme for federated learning. CodedSecAgg introduces redundancy on the devices' data across the network, which is leveraged during the iterative learning phase at the central server to update the global model based on the responses of a subset of the devices. Compared to other schemes in the literature, which deal with device dropouts by ignoring the contribution of dropped devices, the proposed scheme does not suffer from the client-drift problem. We apply CodedSecAgg to a classification problem on the MNIST dataset. For a scenario with 120 devices, we show that CodedSecAgg outperforms state-of-the-art LightSecAgg in terms of latency by a factor of 6.6 to 15.8, depending on the number of colluding agents, for an accuracy of 95%.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
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