Omar Sobh
16161bb9df
The workspace root was upgraded to thiserror = "2" in an earlier commit, but 56 per-crate Cargo.toml files still independently declared "1.0". These crates do not use workspace.dependencies inheritance for thiserror. All updated to thiserror = "2" for complete fleet alignment. Includes: rtx-backend, rtx-tensor, rtx-losses, rtx-backend-cuda/rocm/metal, all training crates (rtx-auto, rtx-rl, rtx-distributed, rtx-federated, etc.), specialized crates (rtx-science, rtx-platform, rtx-nmf, rtx-neuro-*), production crates (rtx-streaming, rtx-serving-api), and all demo crates. cargo check --workspace: PASSES.
91 lines
2.2 KiB
TOML
91 lines
2.2 KiB
TOML
[package]
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name = "rtx-federated"
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version = "1.0.0"
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edition.workspace = true
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rust-version = "1.92"
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authors = ["Claude AI Assistant"]
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license = "MIT"
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description = "Advanced federated learning platform with comprehensive privacy-preserving distributed learning"
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keywords = ["federated-learning", "privacy", "distributed", "machine-learning", "rtx"]
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categories = ["science", "algorithms", "cryptography", "network-programming"]
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[dependencies]
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# Essential dependencies
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anyhow = "1.0"
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thiserror = "2"
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tracing = "0.1"
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tracing-subscriber = "0.3"
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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tokio = { version = "1.0", features = ["full"] }
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futures = "0.3"
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async-trait = "0.1"
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# Math and crypto
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nalgebra.workspace = true
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rand = "0.8"
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num-complex = "0.4"
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sha2 = "0.10"
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base64 = "0.22"
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# Collections and concurrency
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indexmap = "2.0"
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dashmap = "6.0"
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parking_lot = "0.12"
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crossbeam = "0.8"
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rayon = "1.8"
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# Networking and serialization
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reqwest = { version = "0.12", features = ["json"] }
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bincode = "1.3"
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uuid = { version = "1.0", features = ["v4", "serde"] }
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# Time and timing
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chrono = { version = "0.4", features = ["serde"] }
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# Specialized federated learning dependencies
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curve25519-dalek = "4.1"
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ed25519-dalek = "2.1"
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aes-gcm = "0.10"
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chacha20poly1305 = "0.10"
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ring = "0.17"
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x25519-dalek = "2.0"
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hkdf = "0.12"
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# Differential privacy
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statrs = { workspace = true, optional = true }
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ndarray = { version = "0.15", optional = true }
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# Homomorphic encryption
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tfhe = { version = "0.7", optional = true }
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# Byzantine fault tolerance
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# Meta-learning support
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# tch = { version = "0.13", optional = true } # Removed: PyTorch dependency
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[dev-dependencies]
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tokio-test = "0.4"
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proptest = "1.4"
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criterion = { version = "0.5", features = ["html_reports"] }
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tempfile = "3.0"
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[features]
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default = ["standard"]
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standard = ["differential-privacy", "byzantine-robust"]
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differential-privacy = ["statrs", "ndarray"]
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homomorphic-encryption = ["tfhe"]
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byzantine-robust = []
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# meta-learning = ["tch"] # Removed: PyTorch feature no longer available
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simulation = ["tokio/test-util"]
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[[bench]]
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name = "federated_bench"
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harness = false
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[[example]]
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name = "federated_demo"
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required-features = ["standard"]
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[lints]
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workspace = true
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