EncFormer reduces online MPC communication by 1.4x-30.4x and end-to-end latency by 1.3x-9.8x versus prior hybrid FHE-MPC systems for private GPT- and BERT-style inference while preserving accuracy.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A single recurrent transformer block trained once delivers 5 dB and 7.5 dB NMSE gains over prior methods for narrowband and wideband hybrid near-far field THz UM-MIMO channel estimation.
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EncFormer: Secure and Efficient Transformer Inference over Encrypted Data
EncFormer reduces online MPC communication by 1.4x-30.4x and end-to-end latency by 1.3x-9.8x versus prior hybrid FHE-MPC systems for private GPT- and BERT-style inference while preserving accuracy.
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Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
A single recurrent transformer block trained once delivers 5 dB and 7.5 dB NMSE gains over prior methods for narrowband and wideband hybrid near-far field THz UM-MIMO channel estimation.